This is the lab's REAL database — every AI repo and paper Nowness ingested, and for runnable repos: actually cloned + executed in an isolated sandbox. No summaries of summaries, no hype — the verdict, the evidence, the date.
920 records · 42 production-ready · 286 usable · 252 didn't run clean · 231 reference/papers
TraceWeave is a protocol and runtime for verifiable AI agent interactions using the ERC-8004 standard.
Static: The project is described as an 'Early draft' with a planned stack and only documentation files present.
A distributed computing platform for Haskell that provides a framework for building distributed systems.
Static: The artifact is a library/framework for a programming language (Haskell) and is marked as DEPRECATED in favor of modular sub-packages.
TaskMaster is a distributed task scheduling system written in Go that handles high-volume task distribution.
The build failed due to missing module dependencies (no matching versions for task-queue), and the test_exit returned a non-zero status.
Funnel is a toolkit designed for distributed task execution.
The sandbox's memory cap killed the build and test processes; judged statically, the project has a complete structure including tests, documentation, examples, and a Go module file.
Scoot is a distributed task runner that manages jobs as a series of independent tasks executed against immutable filesystem states called 'Snapshots'.
The build process succeeded (build_exit: 0) and the project has a complete structure with multiple components, though some tests failed during the automated run.
A tool for packaging AI agent execution traces into integrity-protected bundles for audit and compliance.
The project has a complete structure, clear documentation, and successful dependency installation (npm_install_exit: 0), though some tests failed during the run.
Invented + built autonomously by the lab.
single-file artifact built by the lab and verified to RUN in the sandbox
SpecReason is a proof-of-concept implementation of a speculative reasoning framework for accelerating inference.
Static: The project is a proof-of-concept (PoC) with a single script and requires specific hardware (multiple A6000 GPUs) and manual patches to vLLM to run.
Traceseal Observe provides a cryptographic framework for generating signed execution receipts for AI model calls, tool invocations, and data flows.
The project has a complete structure, clear documentation, and successfully installed dependencies with all tests passing (85 passed, 3 skipped).
A framework for creating verifiable execution traces for multi-step AI agent pipelines using ZK-style concepts.
The project has a clear structure, documentation, and a successful demo execution (demo_exit: 0) that produced a verifiable proof chain, despite some test failures.
A training-free framework that enables continuous control over LLM reasoning intensity at inference time by applying latent steering vectors.
The sandbox's memory cap killed the build (install_exit: 137), but the project is a complete research framework with a clear structure, multiple supported models, and documented experimental
A research project exploring techniques to scale inference-time compute using small reasoning models.
The project failed to install (install_exit: 1) and tests/demos failed due to missing dependencies (ModuleNotFoundError: No module named 'openai').
STATe is an Inference-Time-Compute (ITC) framework that enables LLMs to perform structured reasoning by searching over high-level action templates.
The sandbox encountered a resource_kill (SIGKILL) during installation and the pytest suite returned 22 errors, indicating the environment could not successfully build or run the project.
X-Codec-2.0 is a high-quality speech codec that uses a Transformer and Vocos Decoder for speech reconstruction.
The sandbox failed to install dependencies (install_exit: 1) and the demo failed to run (demo_exit: 1).
A curated repository and paper list focused on Inference-Time Scaling and Test-Time Computing.
Static: The artifact is a curated paper list and collection of research links, not a runnable software application.
LLaSA is a speech synthesis framework that leverages LLaMA-based architectures by scaling both training and inference compute.
The sandbox's memory cap killed the build (install_exit: 137), but the repository contains a complete training script, configuration files, and clear documentation for multi-speaker and mult
A framework providing recipes to scale inference-time compute for open-source Large Language Models.
The sandbox's memory cap killed the build (install_exit: 137), but the project is a complete, structured repository with clear recipes, scripts, and documentation.
A curated collection of research papers and presentations focusing on deep learning and reasoning.
Static: The artifact is a curated list of papers and links, not a runnable software package.
A framework and Claude Code skill that uses Socratic questioning and hierarchical decomposition to transform abstract goals into actionable tasks.
Static: The project contains a complete set of templates, scripts, and a defined skill structure for Claude Code, making it a functional and well-documented framework.
mtix is a hierarchical task management system designed for multi-agent LLM development.
The build and test suites completed successfully (build_exit: 0, test_exit: 0) and the project includes a complete set of internal packages, documentation, and multiple interface implementat
Conductor is a Model Context Protocol (MCP) server that provides LLM agents with a persistent, hierarchical task tree.
The project has a structured monorepo with multiple components (MCP server, Web UI, Channel server) and clear documentation; the `npm_test_exit: 1` is due to a missing 'test' script in the r
An automated pipeline that tracks and updates Arxiv papers related to Path Planning, Large Language Models, and Autonomous Driving.
Static: The project is a collection of GitHub Actions and scripts that generate a markdown table; it is a curated research feed rather than a software tool.
A PyTorch implementation of a hierarchical prediction framework for long-horizon visual planning.
The installation failed (install_exit: 1) due to a Cython dependency error, and while the module imports, it is a research implementation.
VR-Bench is a benchmark for evaluating spatial reasoning and planning in video models and Vision-Language Models (VLMs).
The sandbox failed to install dependencies (install_exit: 1) and the demo failed to run (demo_exit: 1), indicating the environment could not successfully execute the code.
OvercookedGPT is an OpenAI Gym environment designed to evaluate the long-horizon reasoning and task planning capabilities of Large Language Models (LL.
The sandbox failed to install dependencies (install_exit: 1) and the demo failed to run (demo_exit: 1), indicating the environment is not currently functional.
Invented + built autonomously by the lab.
single-file artifact built by the lab and verified to RUN in the sandbox
EcoGym is a benchmark for evaluating Large Language Model (LLM) agents in long-horizon planning and execution within interactive economies.
The project has a clear structure, complete documentation, and successfully installed dependencies (install_exit: 0), though the demo script failed due to a module import error.
ToolPlanner is a tool-augmented Large Language Model (LLM) framework designed to handle multi-granularity instructions by incorporating path planning .
The sandbox failed to install dependencies (install_exit: 2) and the demo failed to run (demo_exit: 1), indicating the environment setup is not currently functional.
A research project that implements robust mobile robot path planning using Large Language Models (LLMs) for dynamic waypoint generation.
The build failed (cmake_exit: 1, make_exit: 2) and no test configuration was found, indicating the project requires manual environment setup and compilation.
Paperless-ngx is a document management system designed to digitize and archive physical documents.
The sandbox's memory cap killed the build (install_exit: 137), but the project is a mature, well-documented, and actively maintained open-source application with a complete file structure an
The paper introduces ZendoWorld, a controlled interactive environment designed to test an agent's ability to infer logical rules from visual observati.
The artifact is a research paper/article and does not contain a runnable code repository.
CausalDS is a benchmark designed to evaluate the causal reasoning capabilities of LLM-based data science agents.
The artifact is a research paper (arXiv) providing a benchmark framework and methodology rather than a runnable software implementation.
The paper investigates why Large Language Models (LLMs) can memorize new facts during fine-tuning but fail to generalize that knowledge to reasoning t.
The artifact is a research paper (arXiv) providing theoretical analysis and experimental results, not a software implementation.
The research analyzes the limitations of current health chatbots which are often trained on idealized, cooperative patient simulations.
The artifact is a research paper/article providing a study and methodology rather than a software implementation.
AgentNAS is a framework that combines Large Language Model (LLM) generation with Neural Architecture Search (NAS).
The artifact is a research paper (arXiv) providing a conceptual framework and experimental results rather than a runnable software package.
HCC-STAR is a clinical-reasoning large language model designed to provide precision therapy for Hepatocellular Carcinoma (HCC).
The artifact is a research paper describing a model and methodology, not a software repository.
The paper introduces 'overthinking,' a technique that amplifies the reasoning weights of a language model to elicit hidden information or latent secre.
The artifact is a research paper (arXiv) describing a theoretical framework and experimental results, not a software implementation.
AegisDx is a clinical reasoning framework that moves beyond one-shot LLM predictions by using a hypothetico-deductive approach.
The artifact is a research paper describing a framework and experimental results, not a software repository.
LLM-A* is a path planning framework that combines the precise spatial navigation of the A* algorithm with the global contextual reasoning of Large Lan.
The sandbox's memory cap killed the build (install_exit: 137), but the project is a complete and structured Python package with a clear implementation, documentation, and test suite.
A plug-and-play memory module for Hugging Face causal language models that uses a constant-size fast-weight memory system.
Static: The project has a clear structure, a comprehensive README with API documentation, and a clear implementation of a memory module for Hugging Face models.
TTC-Net is a neural network layer that treats LLM reasoning as a receding-horizon optimal control problem.
Static: The repository contains a clear project structure, documentation, and a defined API for a research-backed implementation.
A long-short term event memory state-space model designed to forecast multi-party election outcomes.
Static: The artifact is a collection of R scripts and data files (including Stan models) that lack a standard build manifest for execution in the sandbox, making it a research/reference repo
Vision Mamba is an efficient visual representation learning model that implements a Bidirectional State Space Model (SSM).
The sandbox's memory cap killed the build (install_exit: 137), but the project is a complete implementation with a clear structure, package manifest, and provided usage examples.
This repository contains descriptive information and marketing content regarding the Maya Academy of Advanced Cinematics (MAAC) courses.
Static: The repository contains no executable code or software, only a README file describing educational courses.
A conceptual framework and philosophical discourse on economically inclusive models and resource management.
Static: The artifact contains no executable code or software; it is a collection of text and philosophical arguments regarding economic models.
A collection of documentation and articles outlining the evolution of software testing trends, including Agile, CI, and IoT security.
Static: The artifact contains no executable code or software, but rather serves as a collection of articles and documentation regarding industry trends.
This repository contains a research report and analysis of Nuvei, a global electronic payment processing company.
Static: The artifact consists of a research report and document (Word file) rather than runnable code, making it a reference resource.
A comprehensive guide and blog post outlining the career path of ethical hacking and cybersecurity.
Static: The artifact is a blog post/article and not a software repository.
A collection of basic C# programming examples and educational notes.
Static: The repository consists of text files and a README, serving as a collection of educational notes and code snippets rather than a runnable software application.
A conceptual overview and documentation of Decentralized Finance (DeFi) and its practical applications.
Static: The artifact is a collection of documentation and conceptual descriptions of DeFi use cases rather than a runnable software implementation.
CPython is the reference implementation of the Python programming language.
The project is the official CPython repository; although the demo failed due to a module path error, the installation succeeded (install_exit: 0) and the repository is a mature, production-s
Memtrace provides structural memory for AI coding agents by converting codebases into live, bi-temporal knowledge graphs.
The project has a mature structure with multiple releases, a published NPM package, and a comprehensive benchmark suite; the sandbox successfully installed dependencies (install_exit: 0) and
A load balancer and proxy for multiple ChatGPT accounts that provides usage tracking and a management dashboard.
The sandbox failed to install dependencies due to a Python version mismatch (requires >=3.13, found 3.12.13) and tests failed to run, indicating the environment could not execute the code.
A project designed to detect and filter SMS spam by combining sentiment analysis with personality recognition techniques.
Static: The repository consists of Jupyter notebooks and datasets rather than a runnable software package, making it a research-oriented reference.
TRACER is a symbolic execution tool designed for program analysis, featuring a CIL front-end and support for path-sensitive backward slicing.
The build process failed (make_exit: 2) due to missing configuration files, and the repository lacks a modern build/test suite for the current environment.
A symbolic execution tool designed to analyze LLVM IR traces generated by the PANDA symbolic execution engine.
Static: The project lacks a standard build manifest and contains a mix of Python scripts and proto files without a clear installation or execution path, appearing as a collection of research
Hase is a record-replay debugging tool that uses Intel Processor Trace and core dumps to capture program execution.
The project failed to install (install_exit: 1), tests failed due to missing dependencies (pytest_exit: 2), and the demo failed to run (demo_exit: 1).
ARCUS is a tool that identifies and explains low-level binary vulnerabilities (e.g., overflows, use-after-free) by symbolically analyzing program exec.
The sandbox's make_exit: 2 was due to a missing .config file, but the project structure is complete and includes multiple published papers and documented tools.
A comprehensive curated repository and survey paper regarding the use of Large Language Models (LLMs) as judges for evaluating other AI outputs.
Static: The artifact is a curated list of papers and a survey report, not a runnable software tool or library.
HarmBench is a standardized evaluation framework designed to assess automated red teaming methods and the robustness of Large Language Models (LLMs).
The sandbox failed to install dependencies due to a complex dependency graph (install_exit: 1), but the repository structure is complete, contains a full suite of scripts, documentation, and
Invented + built autonomously by the lab.
single-file artifact built by the lab and verified to RUN in the sandbox
A comprehensive web-based graphical user interface for the Stable Diffusion latent diffusion model.
The sandbox's memory cap killed the build (install_exit: 137), but the project is a mature, well-documented, and widely-used open-source repository with a complete file structure and compreh
AgentScope is a production-grade multi-agent framework designed for building and deploying agentic LLM applications.
The package installs successfully (install_exit: 0) and the library imports correctly, but some tests failed (pytest_exit: 1) and the demo requires specific API keys.
The official Python library for interacting with the OpenAI API.
The library is the official SDK with a clear structure and successful installation (install_exit: 0), though the demo failed due to missing API keys.
Verdict is a declarative framework for building complex 'LLM-as-a-judge' systems by scaling up judge-time compute.
The sandbox execution showed successful installation (install_exit: 0), all tests passed (87 passed, pytest_exit: 0), and the library successfully imported and exposed its public API (demo_e
A comprehensive curated repository and survey of LLM-based evaluation methods.
Static: The artifact is a curated collection of papers and research documentation (a 'Awesome' list) rather than a runnable software tool.
A web application designed to demonstrate and visualize the performance costs of different data structures.
The project has a clear structure and dependencies installed successfully (npm_install_exit: 0), although the automated test script failed due to a missing 'test' command in package.json.
A static web project consisting of HTML, CSS, and various font/image assets.
Static: The artifact contains only HTML, CSS, and image/font files with no executable logic or build manifests, making it a static web resource.
The repository appears to be a collection of release notes and version history for a software project, likely a Git GUI or developer tool.
Static: The artifact contains no executable code or functional software, only a collection of release notes and version history logs.
A tutorial and script collection for controlling Android devices using Python and the Android Debug Bridge (ADB).
Static: The artifact is a tutorial and collection of scripts/documentation rather than a runnable software package, as indicated by the lack of executable code and the 'static-only' language
xLAM is a family of Large Action Models (LAMs) designed to enable AI agents to perform complex tasks by interacting with heterogeneous data sources an.
The sandbox's dependency installation failed (install_exit: 1), but the project is a comprehensive, released suite of models and frameworks with clear documentation and multiple release mile
OpenDriveVLA is an end-to-end autonomous driving framework that leverages a Large Vision Language Action Model (LVLM).
The project has a complete structure, documentation for installation and inference, and successfully installed dependencies (install_exit: 0), though the demonstration import failed due to l
A comprehensive curated list of open-source projects, datasets, and papers related to Large Language Models (LLM), Vision Language Models (VLM), and A.
Static: The artifact is a curated list of links and resources (a 'curated list' or 'Awesome' repository) rather than executable code.
LaVague is a Large Action Model (LAM) framework designed to build AI Web Agents that can automate web-based tasks.
The project has a clear structure, documentation, and multiple drivers, but the sandbox tests failed (pytest_exit: 2) and the demo had a non-zero exit code.
SOUL is a domain-specific programming language and API designed for high-performance, low-latency audio processing.
Static: The project contains a comprehensive structure including a language guide, library references, source code, and examples, indicating a complete and documented implementation.
Faust is a functional programming language specifically designed for real-time signal processing and sound synthesis.
The sandbox failed to build due to missing system dependencies (PkgConfig), but the project structure is complete, contains extensive documentation, examples, and multiple language targets.
A communication protocol and architectural specification designed to reduce the 'token tax' in multi-agent LLM systems.
Static: The artifact is an architectural specification and documentation suite (not a runnable code repository) provided as a set of markdown files and a skill definition.
CodeGen is a family of open-source large language models specifically designed for program synthesis.
The sandbox failed to install dependencies (torch==1.13.1) and the demo could not run due to missing modules.
SuperCollider is a comprehensive platform for audio synthesis and algorithmic composition.
The project is a mature, well-documented, and widely-used open-source platform with a clear file structure and multi-platform support; the sandbox build failed due to missing makefile/test c
AIP is a distributed protocol and Python SDK designed for multi-agent collaboration and multi-tool invocation in scientific workflows.
The library installs successfully (install_exit: 0) and the package imports correctly, but the provided demo scripts failed due to syntax errors and timeouts.
A communication protocol and Model Context Protocol (MCP) implementation that allows AI agents (like Claude and Gemini) to exchange messages using nat.
The project failed to install/run successfully in the sandbox (pytest_exit: 1 and demo_exit: 1) and has a security test error.
Anemoi is a multi-agent system (MAS) that utilizes an Agent-to-Agent (A2A) communication MCP server to enable direct collaboration between agents.
The project failed to install due to missing dependencies (install_exit: 1) and the demonstration failed to run (demo_exit: 1).
A curated repository and survey of research papers focusing on the application of Mamba architectures within the medical domain.
Static: The artifact is a curated list of research papers and documentation, not a runnable software project.
MixerCSeg is a deep learning architecture for crack segmentation that combines CNN-like local texture modeling, Transformer-style global dependency ca.
The sandbox's memory cap killed the build (install_exit: 137), but the project is a complete and released CVPR 2026 submission with a clear file structure, requirements, and provided checkpo
A comprehensive survey and curated repository of efficient architectures for Large Language Models (LLMs).
Static: The artifact is a curated list of research papers and a survey paper, not a runnable software package.
Mamba-Chat is a chat-optimized language model based on the Mamba state-space model (SSM) architecture rather than the standard Transformer architectur.
The installation failed due to a specific torch version requirement (install_exit: 1) and the demo/smoke tests failed to run due to missing dependencies.
PENGUIN is a deep learning framework that reconstructs vital signs (like heart rate and blood pressure) from Photoplethysmogram (PPG) signals.
The sandbox's memory cap killed the build (install_exit: 137), but the project is structurally complete with a clear manifest, source code, and configuration files.
MambaRecon is a framework for MRI reconstruction that utilizes Structured State Space Models (S4) to handle the high-dimensional data.
The sandbox failed to install dependencies (install_exit: 1) and run tests (pytest_exit: 2) due to missing core dependencies like torch.
MambaRoll is a physics-driven autoregressive state space model designed for high-fidelity medical image reconstruction (MRI and CT).
Static: The repository contains a complete project structure with clear documentation, dataset handling for multiple modalities (MRI/CT), and a defined configuration system.
DH-Mamba is a framework for accelerated MRI reconstruction that utilizes Mamba's linear-complexity long-range dependency modeling.
Static: The project is currently under review and the README explicitly states 'We are sorting the code', indicating it is in an early/incomplete state.
OpenCrabs is an autonomous, self-improving AI agent implemented as a single Rust binary.
The build and test processes failed (build_exit: 101, test_exit: 101) during the sandbox run.
Helix is a self-healing runtime that wraps function calls (like payments or API requests) to automatically diagnose, fix, and remember errors.
The project has a complex monorepo structure, multiple packages, and a comprehensive test suite; while some tests failed (npm_test_exit: 1), the core dependencies installed successfully (npm
Invented + built autonomously by the lab.
single-file artifact built by the lab and verified to RUN in the sandbox
Superlog is an agentic telemetry system that ingests OpenTelemetry traces, logs, and metrics to group noisy signals into actionable incidents.
The project has a complete structure with a web app, API, and worker processes, but the test script failed due to a missing 'test' command in the package.json.
OpenAdapt is an open-source framework that bridges Large Multimodal Models (LMMs) with desktop and web GUIs.
The project has a complete modular architecture, clear documentation, and a published PyPI package; the sandbox successfully imported the main package (demo_exit: 0) despite some optional de
Supergoal is an autonomous software engineering framework for AI agents (like Claude Code and Codex) that automates end-to-end task execution.
Static: The project has a clear structure, comprehensive documentation, and a defined plugin/skill architecture for multiple platforms, but it is a set of instructions and prompts rather tha
An open-source control plane for orchestrating multiple AI coding agents (like Claude Code or Gemini CLI) simultaneously.
The project has a complete file structure, multiple platforms (web, iOS, Android), and clear documentation, though the automated test script failed due to a missing 'test' script in package.
SoloDawn is an AI orchestrator that automates software development by managing multiple AI CLI tools (like Claude Code and Codex) simultaneously.
The project has a comprehensive file structure (Rust backend, React frontend, and complex scripts), but the test script failed to run in the sandbox environment.
CATS is a REST API fuzzer and negative testing tool that automatically generates and executes thousands of test cases based on OpenAPI specifications.
Static: The project has a complete structure, clear documentation, multiple release versions, and a robust build system (Maven/GraalVM), indicating a mature and well-documented tool.
A demonstration project for Apache Avro 1.5 features, focusing on data serialization and schema management.
Static: The artifact contains no executable build manifest or test suite, consisting of source files for demonstration purposes.
CrabTrap is an HTTP/HTTPS proxy designed to secure AI agents by intercepting outbound requests and evaluating them against security policies.
The build and test processes failed (build_exit: 1, test_exit: 1) during the sandbox run, and the project requires a complex environment (Docker/PostgreSQL) to fully execute.
An automated pipeline for migrating content from YouTube to AcFun and Bilibili.
The sandbox's memory cap killed the build (install_exit: 137), but the project is a complete, well-structured application with a clear file structure, Docker support, and comprehensive docum
Dingo is a comprehensive evaluation framework designed to assess the quality of machine learning datasets, LLM training data, and RAG systems.
The sandbox encountered installation and test errors (install_exit: 1, pytest_exit: 2), but the demo_exit: 0 confirms the core logic successfully executed and produced expected output. The p
A framework for evaluating agentic workflows by using LLMs as automated judges that provide step-by-step feedback.
The sandbox failed to install dependencies (install_exit: 1) and the demo failed to run due to missing modules (demo_exit: 1).
Prometheus-Eval is a framework and set of evaluator models designed to assess Large Language Model (LLM) generation tasks.
The sandbox's memory cap killed the build (install_exit: 137), but the project is a well-structured, released library with clear documentation, multiple model versions, and a comprehensive e
An ETL/ELT pipeline that synchronizes HubSpot contact data into Google BigQuery.
The project has a complete file structure, clear configuration for GitHub Actions, and successfully installed dependencies (npm_install_exit: 0), despite a placeholder test script.
HEGA is a framework for constructing Knowledge Graphs (KGs) without a predefined schema.
Static: The project consists of research code and scripts with no standard build manifest or execution evidence, and it requires complex external dependencies (e.g., specific LLM deployments
VibeSearchBench is a comprehensive benchmark for evaluating multi-turn, proactive web search capabilities in LLMs.
The project has a complete structure with multiple agent implementations, evaluation scripts, and a clear configuration system; while tests failed in the sandbox, the core codebase and docum
SRBench is a living benchmark framework designed to evaluate modern symbolic regression (SR) methods against state-of-the-art machine learning baselin.
The project provides a comprehensive set of benchmarked methods, a structured experiment framework, and a clear API specification; however, the sandbox failed to execute the build/test tasks
SISSO is a data-driven framework that combines symbolic regression with compressed sensing to develop accurate and interpretable mathematical models.
Static: The project contains a complete and well-documented codebase with multiple versions, clear input templates, and a comprehensive user guide.
A high-performance symbolic regression library in Julia that searches for mathematical expressions to optimize a given objective.
The project is a well-documented, released Julia package with a clear structure, multiple interfaces, and a published paper. The sandbox's npm_test_exit: 1 was due to a missing 'test' script
PySR is a symbolic regression library that searches for interpretable mathematical expressions to optimize a given objective.
The project has a clear structure, multiple installation methods (pip, conda, Docker), and a comprehensive documentation site; the demo_exit: 1 indicates a minor issue with the README's spec
A research project and implementation that combines Graph-Based Planning with Deep Reinforcement Learning (DRL).
The build failed (build_exit: 101) due to network/dependency resolution issues (failed to fetch candle-core), and no successful execution or test results were recorded.
DSPy is a framework for programming language models by defining modular pipelines rather than writing brittle prompts.
The project has a large test suite (976 passed) and a successful smoke test/demo_exit (0), though some tests failed; it is a mature, released framework with extensive documentation.
PCBWorld is an open-source benchmark environment for automating PCB routing by integrating with the KiCad EDA engine.
The artifact is a research paper describing a benchmark environment and dataset, not a software repository.
The paper introduces WALLA, a framework for aggregating predictions from multiple LLMs in decentralized settings where model weights are unknown.
The artifact is a research paper (arXiv) and does not contain a runnable code repository.
The paper investigates whether Reinforcement Learning (RL) during post-training creates new high-level reasoning strategies or merely enhances existin.
The artifact is a research paper (arXiv submission) and does not contain a runnable software implementation.
A pre-registered study investigating the economic behavior of multi-agent systems powered by frontier LLMs (Claude Opus).
The artifact is a research paper/article describing a pre-registered experiment and its results.
The paper investigates how biased reward signals in LLM judges affect the skill evolution of self-evolving agents.
The artifact is a research paper (arXiv) providing a theoretical and behavioral analysis, not a software implementation.
IGRPO is a reinforcement learning framework for improving LLM agents on long-horizon search tasks.
The artifact is a research paper (arXiv) describing a new framework and providing experimental results, not a software implementation.
The paper provides a comprehensive survey and taxonomy of AI self-improvement, distinguishing between bounded self-refinement (e.g., self-rewarding, s.
The artifact is a research paper (arXiv) providing a survey and taxonomy, not a software implementation.
SearchEyes is a framework for training multimodal search agents that perform multi-hop reasoning.
The artifact is a research paper describing a new methodology and framework, not a software repository.
The paper introduces Physics-Audited Agentic SciML (PA-SciML), a framework that moves beyond simple error-metric optimization for AI-driven scientific.
The artifact is a research paper (arXiv) describing a methodology and theoretical framework, not a software implementation.
The paper introduces a methodology to evaluate how deployment rules (rather than just model weights) affect the safety of multi-agent AI systems.
The artifact is a research paper (arXiv) providing a methodology and benchmark, not a software implementation.
The paper explores how formalizing tacit social norms into explicit principles improves human-AI coordination in dynamic environments.
The artifact is a research paper (arXiv) and does not contain a runnable code repository.
The paper proposes a new paradigm for measuring AI intelligence that exceeds human capabilities by using relative measurement instead of human-authore.
The artifact is a research paper (arXiv) and does not contain runnable code or software.
The paper provides a theoretical framework for in-context search, where LLMs iteratively generate, critique, and revise solutions.
The artifact is a research paper (arXiv) providing theoretical analysis and qualitative validation, not a software implementation.
Katalyst is a modular, node-based terminal coding agent that uses a Directed Acyclic Graph (DAG) structure for task planning.
The project has a complete structure, clear documentation, and a successful import demonstration (demo_exit: 0), although some integration tests failed during the sandbox run.
A collection of programming assignments focused on motion planning algorithms.
Static: The repository contains educational assignments and coursework rather than a runnable software product.
PIG is a PyTorch implementation of a framework that learns goal-conditioned policies by imitating graph-based planning.
The sandbox failed to install dependencies (install_exit: 1) and the demo failed to run (demo_exit: 1), indicating the environment is not currently functional.
A chat interface and backend framework designed to facilitate interactions with Large Language Models (LLMs).
Static: The repository contains a complete project structure with clear documentation, multiple files for handling chat logic, and a clear implementation of a chat framework.
A Python-based memory management primitive that combines K-Means clustering with deterministic state-transition logic.
Static: The project contains a complete, single-file implementation (hmsm.py) and a demonstration script (script.py) with a clear structure and documentation.
Parity Protocol is a decentralized infrastructure for verifiable distributed computing that enables secure task execution across a network of nodes.
Static: The artifact is a collection of repository links and documentation for a multi-component system; the provided sandbox only contains the whitepaper and README, not the runnable code.
A multi-agent system that automates the book creation process by simulating a professional publishing team.
Static: The project consists of a notebook and README without a structured package or build manifest, indicating an early-stage implementation.
Slalom is a framework that enables the execution of Deep Neural Networks (DNNs) within trusted execution environments (like Intel SGX) by outsourcing .
The installation failed due to a Python version mismatch (install_exit: 1) and the demo failed to import the application module (demo_exit: 1).
TaskCraft is a library designed to generate complex, multi-tool agentic tasks with verifiable execution trajectories.
The installation failed (install_exit: 1) due to PyMuPDF dependency issues, and the demo failed to run due to missing dependencies (ModuleNotFoundError: No module named 'langid').
Invented + built + sandbox-verified autonomously by the lab.
single-file artifact built by the lab and verified to run in the sandbox
KWeaver Core is a backend framework designed to build enterprise-grade AI decision agents.
The project has a comprehensive structure including a website, deployment scripts, and multiple sub-modules (TraceAI, BKN Lang, etc.); although the website's test script failed, the core inf
A multi-agent framework that automates software development by simulating a structured team pipeline (PM, Planner, Architect, Developer, QA).
The project has a complete file structure, clear documentation, and successful dependency installation (install_exit: 0), though the demo script failed due to a missing 'app' module.
A collaborative AI book writing system that uses a multi-agent pipeline to generate complete book drafts.
The project failed to install dependencies (no matching version for ollama==0.1.32) and resulted in a ModuleNotFoundError for 'requests' during execution.
NovelClaw is a collaborative AI framework designed for long-form fiction writing.
The sandbox's memory cap killed the build (install_exit: 137), but the project is a complete and documented application with a clear file structure and multiple configuration files.
VAR is a hardware-enforced trust boundary for AI agents that uses AWS Nitro Enclaves to create a cryptographically attested execution trace.
The sandbox failed to build and test because the Zig compiler was missing (make_exit: 2), and no execution results were produced.
A Godot Engine project that implements a pathfinding system for 2D platformer games.
Static: The project contains a complete file structure including scene files (.tscn), scripts (.gd), and assets, indicating a functional Godot project.
AegisLang is a multi-agent semantic compiler that transforms natural-language regulations and SOPs into executable control logic (YAML, SQL, and Pytho.
The project is in Alpha (v0.1.0) and the sandbox test suite failed (pytest_exit: 2) with a NameError in the demo script (demo_exit: 1).
Tenacity is a general-purpose retrying library for Python.
The library installed successfully (install_exit: 0), all tests passed (pytest_exit: 0), and the demonstration script executed successfully (demo_exit: 0).
A deterministic execution kernel that enforces state transitions through mathematical and cryptographic invariants.
The sandbox failed to run tests due to a missing script in package.json (npm_test_exit: 1), but the project contains a complete structure with core logic, tests, and examples.
Witnex is a verifiable AI agent framework that generates cryptographic commitments and Zero-Knowledge (ZK) proofs for agent execution traces.
The sandbox failed to run tests due to a missing pnpm binary (npm_test_exit: 127), but the project structure is complete with a multi-language workspace (Rust/TypeScript), documentation, and
Inferable is a durable execution runtime designed for building AI workflows and agents with human-in-the-loop capabilities.
The project is a comprehensive monorepo with multiple SDKs (Node.js, Go, .NET), a control plane, and a front-end; while the test script failed due to a missing 'test' command, the package st
Heym is an AI-native automation platform that allows users to build and deploy complex workflows using a visual drag-and-drop canvas.
The sandbox failed to install dependencies (npm_install_exit: 1) and run tests (npm_test_exit: 1), indicating the project is not currently in a runnable state in the test environment.
A framework that enables AI agents to perform complex tasks through iterative workflow loops, where work results are converted into 'learning signals..
The project has a complete package structure with clear documentation, multi-language support (JS and Python), and a published seed dataset, though the demo failed due to import pathing issu
Dagu is a lightweight, local-first workflow engine that allows users to define Directed Acyclic Graphs (DAGs) using a declarative YAML format.
The sandbox's memory cap killed the build (resource_kill: 137); however, the project is a complete, well-structured Go application with a clear file structure, multiple deployment methods (D
Invented + built + sandbox-verified autonomously by the lab.
single-file artifact built by the lab and verified to run in the sandbox
A comprehensive repository containing over 90 production-ready AI projects and tutorials covering LLMs, RAG, and AI agents.
The sandbox's memory cap killed the build (install_exit: 137), but the repository is a comprehensive collection of documented projects and tutorials with a clear structure and variety of imp
A RAG (Retrieval-Augmented Generation) and Agent application framework built on LangChain and various LLMs (ChatGLM, Qwen, Llama).
The sandbox failed to install dependencies (install_exit: 1) and the demo failed to import the module (demo_exit: 1).
An educational course and repository providing 12 lessons on building AI Agents.
Static: The artifact is a structured educational course and curriculum rather than a runnable software product.
A tutorial and implementation of a generic, algorithm-agnostic pathfinding system in Unity using C#.
Static: The artifact is a tutorial and code repository for Unity, which lacks a standard build manifest for automated execution and is best used as a learning resource.
A graph-based pathfinding implementation for the Unity 3D engine that supports dynamic weight mapping.
Static: The project contains a complete Unity project structure with assets, scripts, and documentation, indicating a functional implementation.
A Java Swing application that provides a graphical representation of graph-based search algorithms.
Static: The project contains a complete Java implementation with a compiled JAR file, clear documentation, and a structured project layout.
ShadowBroker is a decentralized OSINT (Open Source Intelligence) platform that aggregates real-time telemetry from over 60 sources, including aircraft.
The project failed to install (install_exit: 1) and the demo failed to run (demo_exit: 1), indicating it is in an early/incomplete state.
A comprehensive library providing algorithms for computational geometry and graph-based pathfinding.
Static: The project is a mature, well-documented library with a clear structure, multiple versions available on Maven Central/JCenter, and a comprehensive set of geometric and graph algorith
MCNS is a framework for graph representation learning that addresses the limitations of standard negative sampling.
Static: The repository contains a complete implementation with multiple datasets, training scripts, and clear instructions for both recommendation and link prediction tasks.
JointGT is a graph-text joint pre-training framework designed for generating natural language from knowledge graphs.
Static: The repository contains a complete project structure with model implementations (BART, T5), pre-training/fine-tuning scripts, and evaluation folders.
M2GRL is a framework for learning node representations from multi-view graphs, specifically designed for web-scale recommender systems.
Static: The project requires Python 2.7 and TensorFlow 1.8, which are deprecated and difficult to maintain, and the repository provides a demo implementation rather than a production-ready l
The project implements a hybrid model for predicting patient outcomes in Intensive Care Units (ICUs) by combining Long Short-Term Memory (LSTM) networ.
The project failed to install dependencies (install_exit: 1) and the smoke test failed (demo_exit: 1), and no runnable test suite was found.
A Python-based tool that combines quantitative investment logic with LLM-driven sentiment analysis to score financial assets.
Static: The project contains a clear file structure and implementation scripts (score_tool.py, sentiment_investment_scorer.py) for a complete, documented tool.
A Python implementation of various search algorithms (BFS, IDS, Greedy, and A*) to solve the 8-puzzle problem.
Static: The project contains a complete set of Python files implementing the core logic, a test utility, and a clear structure for multiple search algorithms.
Cairn is a general-purpose state-space search engine that uses a Blackboard Architecture and a fact-intent graph to solve problems with a clear start .
The project has a clear structure, complete documentation, and a successful demo_exit: 0, although some tests failed due to missing dependencies (httpx2) in the test environment.
This repository appears to be a collection of academic or coursework materials related to Computer Science.
Static: The repository contains a mix of document types (PDF, PPTX, TXT) and source files across multiple languages without a clear execution manifest or build system.
Invented + built + sandbox-verified autonomously by the lab.
single-file artifact built by the lab; verified to run in the sandbox
Invented + built + sandbox-verified autonomously by the lab.
single-file artifact built by the lab; verified to run in the sandbox
Invented + built + sandbox-verified autonomously by the lab.
single-file artifact built by the lab; verified to run in the sandbox
Invented + built + sandbox-verified autonomously by the lab.
single-file artifact built by the lab; verified to run in the sandbox
Invented + built + sandbox-verified autonomously by the lab.
single-file artifact built by the lab; verified to run in the sandbox
Invented + built + sandbox-verified autonomously by the lab.
single-file artifact built by the lab; verified to run in the sandbox
Invented + built + sandbox-verified autonomously by the lab.
single-file artifact built by the lab; verified to run in the sandbox
A prompting technique that adapts the Tree-of-Thoughts framework into a single-turn prompt for Large Language Models.
Static: The artifact is a collection of prompt templates and research documentation rather than executable code.
A curated collection of academic and historical references regarding the history, philosophy, and development of Artificial Intelligence.
Static: The artifact is a collection of text-based references and citations without executable code.
The project describes a three-layer AI governance stack consisting of an Execution layer, a Symbolic Codex for intent validation, and a Normative Cons.
Static: The artifact contains no executable code or build manifests, consisting primarily of documentation, markdown files, and a narrative timeline.
Karyo is a lightweight C++ library designed for symbolic and concrete execution of Remill-generated LLVM bitcode (x86).
The build failed (cmake_exit: 1) and no makefile was generated, indicating the project structure or build configuration is incomplete or broken.
Holey is a Python library for program synthesis and symbolic execution that combines SMT solvers (like Z3 and CVC5) with Large Language Model (LLM) gu.
The project is in a prototype state as the test suite failed (pytest_exit: 1) and the demonstration examples encountered NameErrors, indicating incomplete or broken execution paths.
A research framework for semantic retrieval that addresses embedding bias by enforcing controlled data lanes and chunk symmetry.
Static: The artifact is a research repository containing experimental designs, policies, and documentation rather than a deployable software product.
A framework that optimizes LLM responses by using Monte Carlo Tree Search (MCTS) to explore and evaluate multiple conversation paths.
The project failed to install (install_exit: 1) and tests failed to run (pytest_exit: 4), and the demo script failed to execute.
MCTS-AHD is a framework that uses Monte Carlo Tree Search to evolve heuristic functions for combinatorial optimization problems.
The project has a complete file structure, multiple configuration groups, and clear implementation of various complex tasks; the installation succeeded (install_exit: 0) and the main entry p
A demonstration project that applies Monte Carlo Search Tree (MCTS) algorithms to solve math word problems from the GSM8K dataset using Large Language.
The project has a clear structure, successfully installs dependencies (install_exit: 0), and provides a functional command-line interface for multiple providers.
SE-Agent is a self-evolution framework for LLM-based code agents that optimizes multi-step reasoning trajectories.
The dependencies installed successfully (install_exit: 0) and the demo successfully executed (demo_exit: 0), indicating a functional codebase.
A benchmarking framework designed to evaluate FuriosaAI RNGD NPU performance across various Large Language Model (LLM) tasks.
The sandbox failed to install dependencies (install_exit: 1) and the demo failed to run (demo_exit: 1), indicating the environment is not currently functional.
A multi-modal benchmarking framework for evaluating voice-based AI agents in customer service scenarios.
The project failed to install dependencies (install_exit: 2) and the smoke test encountered a ModuleNotFoundError, indicating a broken or incomplete installation/pathing setup.
A multi-modal AI mock interview and evaluation platform designed for students.
The sandbox failed to install dependencies (npm_install_exit: 1) due to network/registry restrictions, and no successful execution or test completion was recorded.
A multi-agent AI system that transcribes audio input in real-time and identifies questions to generate automated responses.
The project failed to run in the sandbox due to missing system dependencies (libtk8.6.so) and a missing 'pyaudio' module, and no test suite was found.
This is a community and profile repository for the 'Gege Circle' creative project.
Static: The repository contains no executable code or software; it is a documentation and community profile repository.
Tracecat is an AI-native security automation platform that allows teams and AI agents to build end-to-end workflows, agents, and case management syste.
The installation failed due to a missing 'tracecat-ee' dependency, and tests failed to run due to missing 'dotenv' module; however, the project is a complex, multi-component platform.
An observability platform for production LLM and agent systems that provides deep visibility into Python application behavior.
The project has a clear structure, multiple language SDKs (Python, TypeScript, Rust), and a successful import demonstration, though tests failed due to a missing dependency (anyio) in the sa
A Rust-based toy implementation of search-based planning for river crossing puzzles.
The project compiled successfully (build_exit: 0) and the unit tests passed (test_exit: 0).
The project uses Graph Neural Networks (GNNs) to optimize planning by reducing the search state space.
The installation failed with a 'BackendUnavailable' error (install_exit: 2) and the demo failed to import the application module.
A generic Java-based search engine and educational tool for state-space planning.
Static: The project has a complete structure with a clear Maven configuration, multiple implemented algorithms, and a documented modular architecture.
A research implementation for sequencing operator counts in state-space search, specifically focused on automated planning..
The project has a complete structure with tests and examples; dependencies installed successfully and tests passed (install_exit: 0, pytest_exit: 0), though the demo script failed to import
A CLI extension for the Gemini AI tool that integrates with 'Beads' (bd), a graph-based issue tracker.
Static: The project structure contains a clear manifest (gemini-extension.json), command mappings, and a comprehensive instruction file (GEMINI.md) for the AI agent.
A FastAPI-based backend that implements a GraphRAG approach for Machine Learning workflows.
The project has a clear structure, includes a Dockerfile, requirements, and multiple ontology files, but the demo failed due to a module import error.
Contextful is a context management layer and local search engine designed for Agentic AI.
The sandbox failed to install dependencies (npm_install_exit: 1) and run tests (npm_test_exit: 127) due to node-gyp build errors.
DSM is a hierarchical graph-based retrieval engine designed to manage large-scale LLM contexts by replacing flat RAG with a Triplet State architecture.
The sandbox's memory cap killed the build (install_exit: 137), and the project's own tests and demo scripts failed to run due to module import errors.
A Python library for implementing Bayesian Knowledge Tracing (BKT) and its variants to estimate student mastery from problem-solving sequences.
The library installed successfully (install_exit: 0) and the public API was accessible in the demo, while the project structure shows a complete implementation with both Python and C++ sourc
A research implementation of Deep Knowledge Tracing (DKT) which models student learning progress using Recurrent Neural Networks (RNNs).
Static: The repository is a research code dump that currently lacks the LSTM model implementation mentioned in the README and contains only basic scripts and data files.
AgentClaw is a declarative agent workflow framework that allows users to build and deploy AI agents using a convention-over-configuration approach.
The project has a complete structure with a clear manifest, successful dependency installation (install_exit: 0), and a successful demonstration of the core functionality (demo_exit: 0).
pyKT is a PyTorch-based library designed to train and benchmark Deep Learning Knowledge Tracing (DLKT) models.
The sandbox's memory cap killed the build (install_exit: 137), but the project is a published library with a clear structure, documentation, and multiple datasets/models.
A JavaScript-based utility for multi-point path planning using Amap (Gaode Maps) services.
Static: The project contains a clear file structure with a demo HTML and JavaScript source files, indicating a complete and functional implementation.
A research repository focused on multi-robot path planning algorithms, specifically exploring improvements to M* algorithms using hybrid search spaces.
Static: The repository consists of research papers and documentation rather than a runnable software implementation.
A high-performance navigation stack for multi-robot systems that combines Conflict-Based Search (CBS) for global path planning with Optimal Reciprocal.
The project has a successful installation (install_exit: 0), passing tests (pytest_exit: 0), and a successful demonstration (demo_exit: 0) showing it can compute paths and run simulations.
A collection of MATLAB-based algorithms designed to solve path planning problems for multiple agents.
Static: The artifact is a collection of MATLAB files and documents without a standard build manifest or execution environment.
SynLogic is a data synthesis framework that generates large-scale, verifiable logical reasoning data across 35 diverse tasks (e.g., Sudoku, Game of 24.
The project has a complete structure with multiple task implementations, clear documentation, and a successful dependency installation (install_exit: 0), though the automated demo failed due
DeepMath is a large-scale mathematical dataset and model series designed to advance reasoning in language models.
Static: The repository contains a complete project structure including scripts, evaluation tools, and a clear installation guide for a released dataset and model series.
An AI agent built using LangGraph that implements a reflection pattern to generate, execute, and refine code.
Static: The artifact contains no executable code or build manifests, consisting only of documentation files (PDF, HTML, MD), making it a reference/educational resource.
Lambda-RLM is a framework for long-context reasoning that replaces arbitrary recursive code generation with a typed functional runtime based on λ-calc.
The project has a complete structure with a clear manifest and dependencies, and the installation succeeded (install_exit: 0), though the demo failed due to missing API keys.
Reasoning Gym is a Python library providing procedural dataset generators and algorithmically verifiable reasoning environments for training models vi.
The sandbox successfully installed dependencies (install_exit: 0), passed tests (pytest_exit: 0), and the demonstration script executed successfully (demo_exit: 0).
DT-Guard is a content safety guardrail model that uses a 'Reasoning-Active Training, Reasoning-Free Inference' paradigm.
Static: The artifact is a research paper describing a new training methodology and model architecture, not a software repository.
AssemCAD is a framework for generating mechanically valid CAD assemblies from natural language by using an axiom-grounded approach.
The artifact is a research paper (arXiv) and does not contain runnable code or a software repository.
The paper provides a formal mathematical framework to reconcile the discrepancy between forecasting accuracy and trading profit in prediction markets.
The artifact is a research paper (arXiv) providing theoretical proofs and empirical analysis, not a software implementation.
A System 2 Cognitive Middleware that replaces static data pipelines with a Code Augmented Generation (CAG) approach.
The project has a complete structure with clear implementation files (core.ts, triangulation_tool.ts), a defined tech stack, and a clear configuration schema, though the provided test script
SkillSpector is a security scanner designed to identify vulnerabilities and malicious patterns in AI agent skills.
The project has a comprehensive structure, multiple output formats, and a Dockerized deployment, but the test suite failed (pytest_exit: 1) and the demo encountered a path error.
HCRC is a verification-first execution framework that reformulates LLM inference as a series of predicate-gated state transitions.
The artifact is a research paper (arXiv) describing a theoretical framework and experimental results, not a software implementation.
OpenSRE is an open-source framework for building AI Site Reliability Engineering (SRE) agents capable of investigating and resolving production incide.
The project is in public alpha with significant test failures (14 failed) and the demo/entrypoint failed to execute in the sandbox.
FreqDepthKV is an inference-time KV cache compression technique that factorizes adjacent-layer states into shared low-frequency depth components and s.
The artifact is a research paper (arXiv) describing a new algorithm and methodology, not a software implementation.
CoCoS is a framework for training small language models to generate and self-correct code using Reinforcement Learning.
The sandbox's memory cap killed the build (install_exit: 137), but the project is a complete implementation with a clear structure, dependencies, and a successful import demonstration.
A feature-rich command-line tool for downloading audio and video from thousands of websites.
The project is a mature, widely-used tool with a clear structure and successful import evidence; however, the test suite failed due to a sandbox timeout (timeout_kill: 124).
The paper introduces RMISC, a large-scale corpus containing 200 datasets and 142 billion time points across diverse domains.
The artifact is a research paper/article providing a dataset and experimental analysis, not a software repository.
A code repository associated with the paper 'Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation'.
Static: The repository contains only a README file and no actual code or implementation files.
A full-stack demonstration of LangChain Deep Agents featuring a hierarchical AI system capable of task decomposition and sub-agent delegation.
The project has a complete file structure, clear multi-language architecture (Python/TypeScript), and a provided Docker configuration, though the automated test script failed due to a missin
A Model Context Protocol (MCP) server that enables AI assistants to manage hierarchical projects (Ideas > Epics > Tasks).
The project has a complete structure, documentation, and successfully installed dependencies (npm_install_exit: 0), though it lacks a comprehensive test suite.
A research project and framework for fine-tuning Mistral-7B v2 to perform hierarchical planning for multi-modal task decomposition.
Static: The repository contains a complete set of training code, pre-trained adapters, a custom dataset, and evaluation results, following a clear research methodology.
This project provides a framework for multi-robot task allocation and planning using Hierarchical Linear Temporal Logic (LTL).
The sandbox failed to install dependencies (gurobipy version mismatch) and could not import modules, resulting in a failed smoke test and demo_exit: 1.
ClawGUI is a full-stack framework designed for the end-to-end lifecycle of GUI agents, including online reinforcement learning (RL), standardized eval.
The sandbox failed to install dependencies (install_exit: 1) and the demonstration failed due to missing modules (demo_exit: 1).
OpenLIT is an open-source observability and management platform for AI engineering.
The sandbox run shows a successful build (build_exit: 0) and all tests passed (test_exit: 0).
Harbor is a framework designed for evaluating and optimizing AI agents and language models.
The package installs successfully and the core library imports correctly (demo_exit: 0), although some tests failed due to a missing dependency (pytest_exit: 4).
TensorTrade is an open-source reinforcement learning (RL) framework designed for building, training, and evaluating algorithmic trading agents.
The project has a comprehensive structure, documentation, and successful import demonstration (demo_exit: 0), although some integration tests failed (pytest_exit: 1).
FastAPI is a high-performance web framework for building APIs with Python based on standard type hints.
The project is a mature, widely-adopted framework with a clear structure and successful import demonstration (demo_exit: 0), despite test failures in the sandbox environment.
LMCache is a high-performance Key-Value (KV) cache layer designed for Large Language Model (LLM) inference.
The installation failed (install_exit: 1) and tests failed (pytest_exit: 4), and the demo only ran in CLI-only mode due to missing torch dependencies.
Freqtrade is an open-source cryptocurrency trading bot written in Python that supports multiple exchanges and provides a web UI and Telegram integrati.
The project has a successful installation (install_exit: 0) and a working demonstration (demo_exit: 0), though some tests failed due to missing dependencies (pytest_exit: 4).
Fractal is a PHP library that provides a presentation and transformation layer for complex data structures, specifically for RESTful APIs.
Static: The project is a well-established, mature library with a clear directory structure, comprehensive documentation, and high download counts, indicating a complete and stable implementa
Typer is a Python library for building command-line interfaces (CLIs) based on type hints.
The project has a clear structure, comprehensive documentation, and a successful import demonstration (demo_exit: 0), though it has a high number of failed tests in the sandbox.
A collection of Jupyter Notebooks and lessons for teaching classical aerodynamics using Python.
Static: The artifact is a collection of educational Jupyter Notebooks and documentation rather than a runnable software library.
Promptify is a task-oriented NLP engine that provides a high-level API for extracting structured data from LLMs using Pydantic schemas.
The project has a comprehensive structure with tests (78 passed), a public API, and successful imports, though the demo_exit was non-zero (likely due to missing LLM keys).
Instructor is a Python library designed to extract structured data (JSON) from Large Language Models (LLMs) using Pydantic for validation and type saf.
The library is widely used in production with a clear project structure and successful imports, although the sandbox test suite encountered some errors.
Outlines is a library for structured generation that ensures Large Language Model (LLM) outputs conform to specific schemas (like JSON, Pydantic model.
The library has a clear structure, comprehensive documentation, and a public API that successfully imports, though the sandbox test suite encountered errors.
Kuwala is a no-code data platform that provides a unified workspace for building analytics workflows.
The project has a clear structure, multiple data pipeline implementations, and a successful import test (demo_exit: 0), though it lacks a formal pytest suite.
Open Mercato is an AI-Engineering Foundation Framework designed to provide a structured architecture for building enterprise-grade applications with A.
The sandbox failed to install dependencies (npm_install_exit: 1) and execute tests (npm_test_exit: 127), indicating the environment could not build the project.
AlphaCodium is a test-based, multi-stage code generation framework that moves beyond simple prompt engineering to 'flow engineering.' It uses an itera.
The sandbox failed to install dependencies (install_exit: 1) and tests failed to run (pytest_exit: 2) due to missing modules and import errors.
Toil is a file-defined workflow orchestrator written in Go that manages complex, role-driven processes.
The build and test suites both exited successfully (build_exit: 0, test_exit: 0).
A Model Context Protocol (MCP) server that enables Large Language Models (LLMs) to interact with Google Analytics APIs.
The project has a clean installation (install_exit: 0), passing tests (pytest_exit: 0), and a successful smoke test/import (demo_exit: 0).
SkillOpt is a text-space optimization framework that treats natural-language agent skills as trainable states.
The sandbox run shows successful installation (install_exit: 0), all tests passed (pytest_exit: 0), and the public API was successfully imported (demo_exit: 0).
A Go-native orchestration framework for building stateful, graph-based LLM and tool workflows.
The project has a complete structure with tests, documentation, and multiple provider implementations; while some tests failed due to missing AWS credentials, the build succeeded and core lo
MiniMind is a comprehensive framework and dataset collection for training small language models (LLMs) from scratch.
The sandbox's memory cap killed the build (install_exit: 137), but the project is a complete, well-documented repository with a comprehensive file structure, multiple released model versions
Orchestrates multi-step AI agent workflows — defines execution graphs, manages shared state, dispatches work to agents, and tracks progress with check.
🧳 A state-of-the-art multi-agent travel planning system powered by OpenAI Agents SDK and LangGraph orchestration.
A Retrieval-Augmented Generation (RAG) chatbot implementation built using the Flowise low-code platform.
Static: The artifact is a collection of configuration files (Flowise JSON) and documentation rather than a runnable codebase.
A data visualization project that uses Power BI and Power Query to transform raw datasets into interactive dashboards.
Static: The artifact is a collection of documentation and files (including a .pbix file and dataset) rather than executable code.
A comprehensive, community-curated list of free programming books and learning resources.
Static: The artifact is a curated list of resources and documentation rather than a runnable software application.
RAPTOR-RAG is a Retrieval-Augmented Generation (RAG) system that implements a hierarchical retrieval approach.
The sandbox's memory cap killed the build (install_exit: 137), but the project is a complete, well-structured Python implementation with clear documentation and a defined tech stack.
Elume is a cognitive substrate for AI agents that provides a deterministic, replay-safe memory and mental-modeling architecture.
The project has a clean installation (install_exit: 0), 1194 passing tests (pytest_exit: 0), and a successful demonstration (demo_exit: 0).
The paper introduces M3Bench, a clinically grounded benchmark designed to evaluate the reliability and generalizability of model editing in medical vi.
The artifact is a research paper and academic publication, not a software repository.
The paper proposes a framework for designing reliable autonomous agents by mapping systems biology control motifs (e.g., Feed-Forward Loops, Adaptive .
The artifact is a research paper (arXiv) providing theoretical frameworks and formal proofs, not a runnable software implementation.
AgentGym2 is a benchmarking framework designed to evaluate LLM agents in realistic, 'de-idealized' environments that include noise, underspecified inp.
The artifact is a research paper (arXiv) describing a benchmarking framework and experimental results.
MechMath Agent Team is a multi-agent system designed to assist in mathematical research by mimicking a collaborative research workflow.
The artifact is a research paper describing a system and its empirical results, not a runnable software repository.
The paper proposes an agentic framework to accelerate the self-driving lab (SDL) cycle by addressing two physical bottlenecks: the number of experimen.
The artifact is a research paper (arXiv) describing a theoretical and experimental framework, not a software implementation.
The paper investigates the impact of self-distillation on 'thinking' models (models that use test-time reasoning/rollouts).
The artifact is a research paper (arXiv) providing theoretical analysis and experimental results, not a software implementation.
DSpark is a speculative decoding framework that accelerates LLM inference by combining parallel draft generation with a semi-autoregressive architectu.
The artifact is a research paper (arXiv) describing a theoretical framework and experimental results, not a runnable software package.
GSS is an online planning algorithm for continuous MDPs that addresses the exponential growth of tree-based search (like MCTS) by sharing sampled futu.
The artifact is a research paper (arXiv) providing theoretical proofs and simulation results rather than a software implementation.
The paper addresses a structural failure in Joint-Embedding Predictive Architectures (JEPA) where deterministic predictors collapse to the mean of pos.
Static: The artifact is a research paper (arXiv) describing a new machine learning method and theoretical proofs.
Formal Disco is a distributed system that coordinates LLM workers to generate and refine formally verified programs at scale.
The artifact is a research paper (arXiv submission) describing a methodology and released datasets, not a runnable software package.
tinygrad is a minimalist deep learning stack that provides a Tensor library with autograd, an IR-based compiler, and a JIT engine.
The project has a complete structure, multiple backend implementations, and a clear documentation site, though the sandbox test suite failed (pytest_exit: 2).
A general-purpose verification framework that treats verification as a scaling axis by computing expectations over scoring token logits rather than us.
The artifact is a research paper (arXiv) describing a theoretical framework and experimental results, not a software repository.
AI-Trader is an agent-native trading platform that allows AI agents and humans to share, debate, and execute trading strategies.
The project has a comprehensive file structure, multiple languages (Python, TypeScript, YAML), and clear documentation for both human and agent integration; the test failure was due to a mis
The paper introduces a framework for ensuring autonomous agents remain within authorized boundaries even as they learn and adapt in real-time.
The artifact is a research paper (arXiv) providing a theoretical framework and empirical evaluation, not a software implementation.
A comprehensive full-stack guide and tutorial series for building Retrieval-Augmented Generation (RAG) systems.
The project has a complete structure with documentation, code, and data files; the sandbox successfully imported the code and completed the installation.
The paper analyzes how human preference data (like RLHF) is distorted by limited human attention.
The artifact is a research paper (arXiv) providing a theoretical framework and analysis, not a software implementation.
Human API provides a machine-readable interface for AI agents to request human-in-the-loop services.
Static: The project provides a clear API specification, a service catalog with machine identifiers, and a documented request/response flow for machine callers.
OpenMed is a local-first healthcare AI framework that provides clinical Named Entity Recognition (NER) and HIPAA PII de-identification.
The project has a comprehensive structure, high test coverage (3893 passed), and a successful demo_exit: 0, despite a single non-critical gRPC test failure.
Blackbird is an Open Source Intelligence (OSINT) tool designed to perform large-scale username and email searches across over 600 social networks and .
The project has a complete structure with source code, tests, and documentation; while the sandbox tests failed due to import pathing issues (ModuleNotFoundError: No module named 'src'), the
A curated repository of high-quality plugins and MCP (Model Context Protocol) servers for Claude Code.
The sandbox failed to run tests due to a missing 'test' script, but the repository contains a well-structured monorepo with multiple plugins, clear documentation, and a standard manifest sch
An AI-boosted cross-platform multi-protocol downloader built with Python and Qt.
The installation failed (install_exit: 1) and the demo failed to import the module, indicating incomplete or broken environment setup.
LangBot is a production-grade platform for building and deploying AI-powered instant messaging bots.
The project has a comprehensive structure, multiple supported platforms, and a successful demo_exit: 0, though it shows significant test failures (970 failed) in the sandbox.
A lightweight text-to-speech (TTS) system designed to run efficiently on CPUs rather than GPUs.
The sandbox encountered a resource_kill (SIGKILL) due to memory limits and the demo/tests failed to execute, indicating the project is currently in a prototype state.
A comprehensive educational framework and codebase for building production-grade Retrieval-Augmented Generation (RAG) systems.
The project failed to install due to sandbox memory limits (SIGKILL), and the test suite encountered 13 errors, indicating it is currently in a development/educational state.
Qlib is an AI-oriented quantitative investment platform designed to streamline the entire quant research pipeline, from idea exploration to production.
The project has a comprehensive structure with tests, documentation, and multiple releases, though the sandbox's test execution failed due to a missing module (ModuleNotFoundError).
A collection of AI agents and data connectors designed for financial services workflows like investment banking, equity research, and wealth managemen.
Static: The repository contains a comprehensive set of structured plugins, agent cookbooks, and deployment scripts with clear documentation and multi-platform support.
A curated repository of over 1,000 Claude Skills and plugins designed to enhance AI agent workflows.
Static: The repository is a curated collection of skills and documentation rather than a runnable software product; it serves as a comprehensive resource library.
A comprehensive command-line suite for security researchers and penetration testers that aggregates over 185 hacking tools into a single interface.
The project has a complete file structure, clear documentation, and successful dependency installation (install_exit: 0), though the demo failed due to a missing 'app' module.
Black is an uncompromising Python code formatter that automatically reformats Python files to adhere to a consistent style.
The tool is a well-established, stable project with a comprehensive test suite and clear documentation; while the sandbox test failed due to a missing 'd' extra, the package successfully imp
A project that uses LangChain to generate software use case descriptions and diagrams.
Static: The artifact consists of a notebook and documentation rather than a runnable software package or library.
A framework that simulates human-like instinctual decision-making by augmenting Monte Carlo Tree Search (MCTS) with emotional state tracking and perse.
The dependencies installed successfully (npm_install_exit: 0) and the project structure contains a complete React-based frontend and package manifests; the test failure (124) was attributed
An AI-native invention and R&D framework designed to transform vague ideas into reproducible, auditable invention packages.
The project failed to install/run successfully in the sandbox (pytest_exit: 1, demo_exit: 1) and the test suite encountered assertion errors.
Flask is a lightweight Python micro-framework designed for building web applications.
The project is a mature, production-stable framework with a complete structure and documentation; while the sandbox test suite encountered an import error, the core library is widely deploye
A framework that implements the Tree of Thought (ToT) approach to improve the reasoning capabilities of Large Language Models (LLMs).
The installation failed (install_exit: 1) due to a build error with pyyaml, and the demo failed to execute.
A microservices-based Retrieval-Augmented Generation (RAG) system built in Go for processing and querying complex documents.
The build and test processes completed successfully (build_exit: 0, test_exit: 0) and the project includes a complete microservices architecture with Docker Compose support.
RepoGraph is a multi-agent system designed to analyze code repositories by performing tasks like security auditing, architecture diagramming, and peer.
The sandbox's memory cap killed the build (install_exit: 137), but the project is structurally complete with a clear modular architecture, multiple command-line interfaces, and comprehensive
RepoGraph is a tool that builds Knowledge Graphs and enables semantic search for Python repositories using a Neo4j database.
The project has a complete structure with a backend, frontend, and Docker configuration, along with high code coverage and clear documentation; the sandbox's npm_install_exit: 1 was due to a
RepoGraph is a repository-level module that constructs and retrieves code graph context to enhance LLM software engineering capabilities.
The project has a clear structure, includes integration with established frameworks (SWE-agent, Agentless), and successfully installed dependencies (install_exit: 0).
Swarm is a Rust-based framework for orchestrating multi-agent systems using a conductor-specialist model.
The build and test processes failed due to Rust version incompatibilities with dependencies (build_exit: 101).
A comprehensive RAG (Retrieval-Augmented Generation) framework featuring an agentic layer for query decomposition and adaptive routing.
The project has a complete file structure, clear documentation, and a defined package manifest, though the test suite failed to execute in the sandbox.
An autonomous AI agent designed to solve complex tasks in sandboxed virtual environments (BitGN PAC1 Challenge).
The project has a complete structure with a multi-layered architecture, a custom dashboard, and a clear skill registry; however, the sandbox installation failed due to missing local dependen
Kyros is a memory management system for AI agents that provides three types of memory: episodic (events), semantic (facts), and procedural (skills).
The build and test processes failed (make_exit: 2, maketest_exit: 2) due to missing dependencies (docker-compose, uv) in the sandbox environment.
A local proxy and trace viewer that intercepts and inspects API traffic from various AI coding agents (e.g., Claude Code, Cursor, Gemini CLI).
The sandbox run shows successful installation (install_exit: 0), all tests passed (865 passed, 121 skipped), and the demonstration successfully imported the package and exposed its public AP
Parseable is an open-source observability platform built in Rust that uses a data lake architecture to store logs, metrics, and traces.
The build and test processes failed (build_exit: 101, test_exit: 101) during the sandbox run.
Apache Burr is a low-abstraction Python library designed to build and manage stateful applications, such as chatbots, AI agents, and simulations, by m.
The project has a complete structure, comprehensive documentation, multiple examples, and a published manifest, though it failed some tests in the sandbox (pytest_exit: 2).
A comprehensive collection of political propaganda and informational resources regarding the Chinese government.
The package installs successfully (install_exit: 0) and the Python module imports and provides a public API (demo_exit: 0), though no formal test suite was found.
A backend infrastructure for high-fidelity backtesting and live market execution.
The project has a clear structure, clear API definitions, and successfully installed dependencies (install_exit: 0), though the automated demo failed.
G-Force is an orchestration engine that automates the deployment of ephemeral Google Cloud Platform infrastructure for machine learning tasks.
The project has a complete structure, clear documentation, and successfully imports/runs (demo_exit: 0), though it encountered a unit test collection error (pytest_exit: 2).
Open-Orch is an open-source control plane designed to manage ephemeral preview environments.
The project has a clear structure with a Go backend and React frontend, and the build and test processes completed successfully (build_exit: 0, test_exit: 0).
A Docker container orchestration system that provides on-demand container creation and lifecycle management via a REST API.
The project failed its test suite (82 failed, 215 passed) with errors regarding invalid cleanup strategies.
A comprehensive set of instructions and methodologies for advanced research and knowledge management.
Static: The artifact is a collection of markdown files and documentation (SKILL.md) rather than executable code, making it a set of instructions/prompts for use in AI platforms.
ComfyUI is a modular node-based GUI and backend for generative AI, allowing users to build complex workflows for image, video, and 3D content creation.
The sandbox's memory cap killed the build (install_exit: 137), but the project is a well-established, mature repository with a clear structure, comprehensive documentation, and multiple rele
A lightweight, high-performance LLM inference engine built from scratch in approximately 1,200 lines of Python.
The installation failed (install_exit: 1) and the demo failed to run due to missing dependencies, indicating the package is not yet fully functional in a standard environment.
Crune is a toolset that analyzes Claude Code session logs to generate a semantic knowledge graph and reusable skill definitions.
The sandbox execution shows that dependencies installed successfully (npm_install_exit: 0) and all 520 tests passed (npm_test_exit: 0).
A framework for generating videos by composing actions using graphs.
The sandbox failed to install dependencies (install_exit: 1) and the demo failed to run (demo_exit: 1), and the repository is currently missing pre-trained models and full evaluation scripts
Kinetic-GAN is a framework for human action synthesis using Generative Adversarial Graph Convolutional Networks.
The installation failed due to a dependency error (matplotlib/configparser), and the demo failed to run, indicating the environment cannot currently build the project.
A full-stack web application for multi-speaker voice generation and cloning based on Microsoft's VibeVoice model.
The sandbox's memory cap killed the build (install_exit: 137), but the project is a complete, well-structured full-stack application with a clear manifest, documentation, and a successful sm
Platypus is a framework for fine-tuning and merging Large Language Models (LLMs) using Low-Rank Adaptation (LoRA) and Parameter-Efficient Fine-Tuning .
The sandbox's memory cap killed the build (install_exit: 137), but the project is a complete, well-documented repository with clear scripts for fine-tuning, merging, and data processing.
A comprehensive repository of tutorials, guides, and scripts for Generative AI, specifically focusing on Stable Diffusion, LoRA, and DreamBooth.
Static: The repository is a collection of documentation, tutorials, and notebooks rather than a runnable software package.
An independent implementation of the LLaMA language model that supports pre-training, fine-tuning, and inference.
The sandbox's memory cap killed the build (install_exit: 137), but the project is a complete, well-structured repository with clear documentation and multiple fine-tuning scripts.
Nuwax is an enterprise-grade platform for developing and deploying AI agents.
The sandbox failed to install dependencies (npm_install_exit: 1) and tests could not run (npm_test_exit: 127).
ReMe is a local-first memory layer that converts AI agent interactions and resources into editable, searchable Markdown files.
The sandbox failed to install and run the package (ModuleNotFoundError and multiple unit test errors), indicating the current state is a prototype.
AGiXT is an AI Agent Automation Platform designed to orchestrate complex tasks across multiple AI providers.
The installation succeeded (install_exit: 0) and the library imports successfully (demo_exit: 0 for import test), but specific examples failed due to library versioning/missing dependencies.
MemMachine is a long-term memory layer for AI agents that provides persistent storage for episodic (graph-based), profile (SQL-based), and working mem.
The installation failed (install_exit: 1) and the demonstration scripts failed to run due to missing modules and syntax errors.
AgenticSeek is a fully local AI agent capable of autonomous web browsing, coding, and task planning.
The project failed to install (install_exit: 137) and tests failed (pytest_exit: 2), and the demo failed to run due to missing dependencies.
Khoj is an AI-powered 'second brain' that allows users to interact with their personal documents and the web using LLMs.
The project is labeled as 'Production/Stable' in its manifest and has a comprehensive structure with Docker and PyPI support; while pytest_exit: 4 indicates some test failures, the project p
1Panel is an open-source VPS control panel that provides a web interface for managing server infrastructure, including Docker containers, websites, an.
The project has a comprehensive structure with multiple languages (Go, Vue, TypeScript), a clear multi-language documentation suite, and a successful build (make_exit: 0), though the test su
An open-source quality system and rule corpus for modern web development, designed for both human developers and AI agents.
The sandbox failed to install dependencies (npm_install_exit: 1) and run tests (npm_test_exit: 127) due to unsupported package manager features (catalog:).
A framework for scalable multi-hop relational reasoning in knowledge-aware question answering.
Static: The repository contains a complete implementation of multiple graph encoding models, clear data preprocessing scripts, and detailed instructions for handling large-scale datasets lik
VeritasGraph is a GraphRAG framework that combines Knowledge Graph reasoning with hierarchical tree navigation (PageIndex) for advanced information re.
The project has a comprehensive file structure, multiple installation modes, and a published package, but the sandbox's pytest_exit: 2 and demo_exit: 1 indicate issues with the test suite an
A repository providing implementations for multi-hop logical reasoning on Knowledge Graphs (KGs).
Static: The repository contains a complete set of model implementations (BetaE, Query2box, GQE), data loaders, and execution scripts for multiple standard datasets.
This repository provides a framework for multi-hop reasoning over knowledge graphs using Reinforcement Learning (RL) with policy gradient and reward s.
The sandbox's memory cap and proxy filters caused installation failures, but the project is a complete, well-structured research implementation with a clear file structure, configuration fil
A ROS/ROS2 wrapper for Multi-Agent Path Finding (MAPF) algorithms.
The build failed (cmake_exit: 1) and no makefile was generated, indicating the project does not build in the current environment.
ScholarMind is a multimodal academic research agent designed to assist with literature review, PDF/figure analysis, and knowledge graph construction.
The sandbox encountered a resource_kill (SIGKILL) during installation, and the test suite failed with multiple ModuleNotFoundError errors.
CL-CBS is a complete and efficient solver for Multi-Agent Path Finding (MAPF) specifically designed for car-like robots.
The project is a complete, published research implementation with a clear structure, documentation, and a large benchmark suite; the build failed in the sandbox due to missing environment de
A C++ library providing search algorithms for multi-robot task and path planning.
The build system failed to execute (cmake_exit: 1, make_exit: 2) and no test results were generated.
G6VP is an online graph analysis tool and a low-code platform for building graph applications.
The sandbox's memory cap/network restrictions caused installation failures (npm_install_exit: 1), but the project is a complete, documented, and structured repository with a clear package ma
BinNavi is a binary analysis IDE designed for inspecting, navigating, and annotating control-flow and call graphs of disassembled code.
Static: The project is a mature, well-documented Java application with a clear structure, multiple build systems (Maven, Gradle, Ant), and a dedicated plugin for IDA Pro.
SocratiCode is an enterprise-grade codebase intelligence engine that provides AI assistants with deep semantic understanding of large codebases.
The project has a comprehensive structure, multiple plugin implementations, and a high volume of passing tests (889 passed), despite some test failures in the sandbox.
Joern is an open-source code analysis platform that generates Code Property Graphs (CPGs) from source code, bytecode, and binary executables.
Static: The repository contains a comprehensive project structure, including Dockerfiles, test suites, and multi-language support, indicating a mature and released project.
An AI agent skill that performs multi-source research by simultaneously querying Reddit, X, YouTube, Hacker News, Polymarket, and the web.
The project has a comprehensive file structure, includes tests, and a clear manifest, but the installation failed in the sandbox (install_exit: 1) and the demo failed to import the module.
Whisper is a general-purpose speech recognition model trained on a large-scale diverse audio dataset.
The sandbox's memory cap killed the build (install_exit: 137), but the project is a well-established, officially released library with a clear structure and comprehensive documentation.
A minimalist and high-performance repository for training or fine-tuning GPT-style models.
Static: The project is a well-established, complete repository with a clear file structure, clear instructions, and comprehensive documentation for various hardware setups.
RoboTrust is a comprehensive benchmark and framework designed to evaluate the trustworthiness of Multimodal Large Language Models (MLLMs) in embodied .
Static: The repository contains a complete project structure, including evaluation tools, datasets, and clear documentation for a multi-dimensional trust framework.
iVISPAR is an interactive multi-modal benchmark designed to evaluate the spatial reasoning capabilities of Vision-Language Models (VLMs) acting as age.
Static: The project contains a complete structure with source code, assets, and documentation for multiple puzzle types, including a web GUI and VLM API integration.
A benchmarking framework that evaluates the tool-calling and decision-making capabilities of AI agents by simulating a food delivery rider's workflow.
The project has a complete structure, clear documentation, and a functional test suite; although some integration tests failed (npm_test_exit: 1), the core logic and environment are clearly
SGI-Bench is a scientific evaluation framework designed to measure 'Scientific General Intelligence' in LLMs by simulating the full inquiry cycle: Del.
The sandbox successfully installed dependencies (install_exit: 0) and the project includes a comprehensive structure with multiple python files and an evaluation framework; however, the demo
EvolveDB and EvolveGDB provide a model-driven approach to database schema evolution.
Static: The repository contains a comprehensive set of source files, including Eclipse project structures, multiple datasets, and detailed documentation for both relational and graph databas
The project implements a memory-augmented multi-agent framework designed to improve Knowledge Graph Embedding (KGE) accuracy.
The sandbox's memory cap killed the build (install_exit: 137), and the project is structured as a research/course project with complex dependencies and no clear test suite.
Nautilus is a framework and web interface for managing the evolution of graph databases.
The project failed to install due to dependency conflicts (install_exit: 1) and the demo failed to run, indicating the environment is not currently functional.
A feature-rich data lake gateway built on DuckDB that provides a REST and GraphQL API for managing data and blob storage.
The project has a comprehensive structure, multiple test suites, and clear documentation, though the sandbox test suite failed due to a network/dependency error (failed to download DuckDB ex
A Python SDK for building AI agents powered by Google's Antigravity and Gemini models.
The project has a clear structure, complete documentation, and successful dependency installation (install_exit: 0), though the demo failed due to environment/syntax issues in the runner.
A tool that enables AI models (like Claude) to 'watch' videos by downloading content, extracting scene-aware frames, and generating transcripts.
Static: The project has a complete file structure, including tests, multiple configuration files for various AI hosts, and a clear implementation for frame extraction and transcription.
A curated list of providers and models offering free LLM inference or trial credits.
Static: The artifact is a curated list of resources and documentation rather than a runnable software application.
A distributed microservices framework designed to automate Robotic Process Automation (RPA) bot recovery and intelligent code generation.
Static: The repository contains no code files or build manifests, appearing as a sparse or incomplete project structure.
Xoder is an offline Wiki auto-generation engine that uses deep static analysis and multi-agent workflows to build comprehensive technical documentatio.
Static: The project has a clear structure with a multi-language AST parser, comprehensive script set for analysis, and a defined multi-agent pipeline, though it is flagged as static-only in
An AI-driven testing framework for Claude Code that automates the creation and maintenance of Playwright end-to-end tests.
Static: The project has a complete file structure including commands, skills, and templates, along with a detailed configuration guide and multi-stage pipeline.
Mupin is a modular system of AI agents designed for autonomous code generation and self-healing.
The sandbox successfully installed dependencies (install_exit: 0) and the project structure contains a complete, documented module with Docker and Python files, though the demo failed due to
A tracking tool that monitors the adoption of OIDC, provenance, and staged publishing among high-impact npm packages.
The project has a complete structure, clear documentation, and successfully installed dependencies (npm_install_exit: 0), though it lacks a standard 'test' script.
Agience is an operating system for AI workflows that transforms AI-generated output into durable, governed knowledge artifacts with unique identities .
The sandbox execution shows that dependencies installed successfully (npm_install_exit: 0) and all 347 tests passed (npm_test_exit: 0).
Fluid is a pure functional dialect of Python that includes a dependency-tracking runtime.
The project failed to install due to unsupported workspace protocols (npm_install_exit: 1) and is currently in a state where it cannot be automatically verified.
A curated repository of olfactory psychophysics and biology data, including molecular and behavioral datasets.
Static: The repository contains a comprehensive collection of structured data files (CSV, MAT, XLSX) and clear documentation for use with a dedicated library.
The project implements a method to scale kernel machines (like SVMs) by mapping input data into a randomized low-dimensional feature space.
Static: The repository contains a research paper implementation, notebooks, and a PDF report rather than a runnable software library or package.
A research project that predicts stock price movements by combining historical data with semantic analysis of business news and social media.
Static: The artifact is a dissertation project consisting of Jupyter notebooks and a results spreadsheet, making it a research reference rather than a deployable software product.
A research project focused on the computational analysis of rhythmic variation in music performances.
Static: The artifact is a research project repository containing MATLAB files, datasets, and documentation rather than a runnable software package.
A research project and academic study exploring the limitations and efficiencies of standard clustering models (K-means, GMM) and Naive Bayes for imag.
Static: The artifact consists of Jupyter notebooks and a PDF report, representing a research study and academic coursework rather than a deployable software tool.
Ponce is an IDA Pro plugin that integrates symbolic execution and taint analysis directly into the disassembler.
The sandbox failed to build (cmake_exit: 1) due to missing test configurations, but the project is a mature, released tool with a clear structure, documentation, and multiple OS-specific bui
KLEE is a symbolic virtual machine built on the LLVM compiler infrastructure.
The build failed (cmake_exit: 1, make_exit: 2) and no tests were successfully executed in the sandbox.
Manticore is a symbolic execution tool used for the automated analysis of smart contracts and binaries.
The sandbox failed to install dependencies (install_exit: 1) and failed to run tests and demos due to missing modules (ModuleNotFoundError: No module named 'yaml').
Mythril is a security analysis tool for EVM bytecode that identifies vulnerabilities in smart contracts.
The project has a clear structure, documentation, and successful module imports (demo_exit: 0), though some tests failed due to environment/network issues (pytest_exit: 2).
A collection of robotics simulation projects implementing various autonomous navigation strategies including Artificial Potential Fields (APF), A* gra.
Static: The repository contains a complete set of project files, including multiple navigation algorithms, configuration files, and documentation, indicating a mature and structured collecti
A geometric pathfinding tool that buffers polygon coordinates to a specific distance and calculates the shortest path between points.
Static: The project contains a complete implementation of the logic (matrix creation, graph construction, and pathfinding) with clear documentation and file structure.
TRG-planner is a path planning framework designed for safe and efficient navigation in unstructured environments.
The project has a complete structure with C++ and Python implementations, ROS pipeline support, and a successful build (make_exit: 0), though specific tests failed to run.
Graphify is an AI coding assistant skill that converts codebases, documents, and media into a queryable knowledge graph.
The dependencies installed successfully (install_exit: 0), but the test suite failed (pytest_exit: 1) and the demo failed to execute.
EvoSuite is an automated test suite generator for Java classes that uses a genetic algorithm to produce JUnit tests.
Static: The project contains a complete file structure, multiple Dockerfiles for different Java versions, a Maven configuration (pom.xml), and a clear project structure, indicating a mature
WHartTest is an AI-driven test automation platform that automates the generation and management of test cases from requirements.
The sandbox failed to install dependencies (npm_install_exit: 1) and run tests (npm_test_exit: 1) due to registry access issues and missing scripts.
Qodo-Cover is an AI-powered tool designed to automatically generate and enhance unit tests to improve code coverage.
The project has a clear structure, multiple deployment modes (Pip, Binary, Docker), and a successful demo_exit: 0, although some integration tests failed due to missing dependencies.
A self-correcting Retrieval-Augmented Generation (RAG) system designed for code synthesis and Q&A.
The sandbox execution failed with 'install_exit: 1' and 'pytest_exit: 2', and the demonstration failed due to a 'ModuleNotFoundError: No module named cse'.
A persistent long-term memory system for Claude Code that uses the Model Context Protocol (MCP) to capture coding decisions, bug fixes, and context ac.
The sandbox failed to install dependencies (npm_install_exit: 1) and tests could not run (npm_test_exit: 127) due to missing build tools.
NanoClaw is a lightweight AI agent framework that allows users to run Claude agents in isolated Linux containers.
The project has a complete structure with a multi-language documentation suite, complex file counts, and successful dependency installation (npm_install_exit: 0), although some tests failed
TiDB is an open-source, cloud-native, distributed SQL database that provides ACID compliance and horizontal scalability.
The sandbox build and test processes failed with exit code 137 (OOM/Killed), indicating the environment could not complete the build or test execution.
Mem0 provides a long-term memory layer for AI agents and assistants, allowing them to retain user preferences, session context, and historical data.
The sandbox execution resulted in 58 test errors (pytest_exit: 2) and the demonstration failed to import the module and run due to missing credentials.
Richpedia is a comprehensive multi-modal knowledge graph that combines textual facts with visual data (images/videos).
Static: The artifact is a dataset and research project rather than a runnable software package, providing data files and a framework description.
MMGraphRAG is a multi-modal knowledge graph retrieval-augmented generation (RAG) framework.
Static: The project has a complete file structure, clear documentation, and multiple configuration options for both text and multi-modal LLMs, indicating a mature implementation.
Structure-CLIP is a framework that enhances multi-modal structured representations by integrating Scene Graph Knowledge.
Static: The repository contains a complete project structure including model code, data loaders, and training scripts, along with a clear README and publication history.
A comprehensive survey and repository collecting research on the integration of Knowledge Graphs (KGs) and Multi-Modal Learning.
Static: The artifact is a curated collection of papers and research papers (a survey) rather than executable code.
A framework for extending LLM prompting capabilities by enabling Graph of Thoughts (GoT) patterns.
The library's dependencies installed successfully (install_exit: 0), but the test suite failed (pytest_exit: 5) and the demo failed to execute (demo_exit: 1).
AXIOM is a high-performance, native development framework that turns LLMs into deterministic engineering collaborators by moving reasoning structures .
The package installation succeeded (npm_install_exit: 0), but the test suite failed (npm_test_exit: 1), and the project is explicitly labeled as 'pre-release' with rough edges.
ProSense is a multi-stage training framework that improves LLM truthfulness and robustness by using Graph-of-Thought (GoT) reasoning.
The installation failed (install_exit: 137) and the demonstration script encountered a ModuleNotFoundError.
A Python framework that implements multiple iterative and adaptive reasoning patterns (AoT, L2T, GoT, FaR) for Large Language Models.
The project has a clear structure, comprehensive documentation, and a large test suite (140 passed), though some tests failed and the demo import failed.
Rill Flow is a high-performance, cloud-native workflow orchestration engine designed for distributed workloads and LLM integration.
The project has a complete structure with multiple components (frontend, backend, executors), a clear Docker-based deployment path, and a comprehensive documentation suite, though the automa
ACP is a cloud-native orchestrator for AI agents built on Kubernetes.
The project is explicitly labeled as 'alpha' and the automated tests failed during the build process (maketest_exit: 2).
Jido is an autonomous agent framework for Elixir designed to build multi-agent systems and complex workflows.
Static: The project has a complete file structure, including a library, test suite, and multiple ecosystem packages, indicating a mature and well-documented codebase.
Hatchet is an orchestration engine designed for background tasks, AI agents, and durable workflows.
The sandbox run failed with a build_exit: 137 and test_exit: 137, indicating the environment was killed (likely due to memory/resource limits) and could not complete the build or test cycle.
Crabbox is a remote software testing and execution control plane that allows developers to run repository commands on remote infrastructure while main.
The sandbox build and test processes failed (build_exit: 1, test_exit: 1) due to resource limits, and no successful execution or test pass was recorded.
A MATLAB-based path planning implementation that uses sampling-based methods to generate nodes in a 2D map.
Static: The repository contains a complete set of MATLAB files including map definitions, node generation, graph construction, and multiple pathfinding algorithm implementations.
The repository appears to be a collection of educational or descriptive text regarding Artificial Neural Networks (ANNs), Decision Trees, Support Vect.
Static: The artifact contains no executable code or functional implementation, consisting primarily of descriptive text and markdown files.
A comprehensive Python library for anomaly detection that supports multiple data types including tabular, time series, graph, text, image, and audio.
The library installed successfully (install_exit: 0) and the demonstration script ran and produced expected output (demo_exit: 0), though no formal pytest suite was detected.
Your Personal AI super intelligence.
A Python implementation of various multi-robot path-planning algorithms, including both centralized and decentralized approaches.
The project has a clear structure, complete documentation, and successful dependency installation (install_exit: 0), though it lacks a formal test suite.
A multi-agent workflow engine that allows users to orchestrate complex tasks by providing a single sentence or a YAML configuration.
The project has a clear structure, multiple deployment methods (CLI, Web Studio, Desktop App), and a large role library, though the automated tests failed (npm_test_exit: 1) and the web serv
A comprehensive collection of tutorials and code implementations for building agentic AI systems.
The sandbox failed to install dependencies (install_exit: 1) and the demo failed to run (demo_exit: 1) due to missing modules.
PraisonAI is an AI agent framework designed to build autonomous, self-improving agents capable of research, planning, and code execution.
The project has a comprehensive structure, multiple SDKs, and a successful demo execution (demo_exit: 0), although some tests failed during the sandbox run.
An MCP (Model Context Protocol) server that provides AI models with tools to interact with Google Docs, Sheets, Drive, Gmail, and Calendar.
The project has a comprehensive structure and high test coverage (288 passed), though one test failed during the sandbox run.
A Model Context Protocol (MCP) server that provides a bridge between AI assistants (like Claude) and the Google Sheets API.
The project shows a successful installation (install_exit: 0), 22 passing tests (pytest_exit: 0), and a successful import demonstration (demo_exit: 0).
A simplified, single-file PyTorch implementation of the Mamba State Space Model (SSM).
Static: The repository contains a complete, single-file model implementation and a demonstration notebook, but it lacks high-level performance optimizations and proper parameter initializati
Mamba is a high-performance C++ reimplementation of the Conda package manager.
The sandbox failed to install dependencies (install_exit: 1) and the demonstration failed to run (demo_exit: 1).
Mamba is a state-space model (SSM) architecture designed for efficient, linear-time sequence modeling.
The sandbox execution failed with multiple errors (install_exit: 1, pytest_exit: 2, and a ModuleNotFoundError for 'torch'), and the design requires specific hardware (NVIDIA GPU) and complex
LocalAI is an open-source AI engine designed to run Large Language Models (LLMs), vision, voice, and image models on various hardware without requirin.
The sandbox build and test processes failed (build_exit: 1, test_exit: 1).
EnvFactory is a framework for scaling tool-use agents by synthesizing executable environments and robust Reinforcement Learning (RL).
The project has a complete structure with source code, configuration files, and clear documentation, and dependencies installed successfully (install_exit: 0), though the demo failed due to
EnvScaler is an automated framework that programmatically synthesizes executable, stateful environments for training LLM agents.
The repository contains a complete project structure with multiple stages (SkelBuilder, ScenGenerator, SFT, RL) and provides datasets and model weights, though the automated demo failed due
AnythingLLM is an all-in-one AI application that provides a private, local-first platform for interacting with LLMs and documents.
The project has a comprehensive file structure, multi-language support, and successful dependency installation (npm_install_exit: 0), although the test suite encountered partial failures (np
A comprehensive educational resource and repository containing guides, papers, and tutorials on prompt engineering, RAG, and AI Agents.
Static: The artifact is a comprehensive collection of documentation, guides, and educational resources rather than a runnable software tool.
An implementation of Transition Matching (TM), a generative modeling framework that improves upon Flow Matching by preserving target covariance during.
The sandbox failed to install dependencies (install_exit: 1) and the demo failed to run (demo_exit: 1).
FlawMatch is a framework that uses Flow Matching to generate conditional images of surface defects.
The sandbox failed to install dependencies (install_exit: 1) due to specific torch versioning requirements, and no tests or successful demonstrations were completed.
The project implements a conditional image generation framework using Flow Matching with a Conditional Optimal Transport objective.
Static: The repository contains a complete set of notebooks and Python scripts covering the full pipeline (captioning, encoding, training, and inference) and a detailed project report.
FreqFlow is a high-quality image generation framework that improves upon flow matching by explicitly incorporating frequency-aware conditioning.
Static: The repository contains the core implementation files and configuration scripts, but lacks a standard build manifest or execution evidence in the sandbox.
VideoMamba is a video understanding framework that adapts State Space Models (SSMs) to handle long-range global dependencies and local redundancies in.
The installation failed due to a missing 'apex==0.1' dependency, and the demonstration script failed to import the required modules.
A collection of AI assistant instructions and Model Context Protocol (MCP) systems designed to help users interact with Microsoft Fabric.
The package installs successfully (npm_install_exit: 0) and contains a comprehensive set of configuration files and prompt templates for multiple AI tools, though the test suite failed due t
A comprehensive framework for implementing and training Structured State Space (S4) models, including variants like HiPPO, LSSL, and S4D.
The sandbox failed to install dependencies (install_exit: 137) and the demonstration script failed due to missing dependencies.
VMamba is a vision backbone that adapts State Space Models (SSMs) for computer vision tasks.
The sandbox failed to install dependencies (install_exit: 137) and the demonstration failed to run.
Vision Mamba is a vision backbone that replaces standard self-attention with bidirectional State Space Models (SSMs).
The installation failed (install_exit: 1), tests failed (pytest_exit: 2), and the demonstration script failed due to missing dependencies.
STFlow is a generative framework that uses flow matching to predict spatial transcriptomics (gene expression) from histology images.
The dependencies installed successfully (install_exit: 0) and the package was successfully imported (demo_exit: 0), though no formal test suite was detected.
FlowInOne is a multimodal generative model that unifies image-to-image (I2I) and text-to-image generation into a single framework.
The installation failed (install_exit: 137) and the demo failed to run due to a ModuleNotFoundError.
A set of custom schedulers and a flow sampler for ComfyUI designed to optimize flow-matching models like Flux.2Klein and Z-Image-Turbo.
The sandbox failed to install the dependencies (install_exit: 1) and the demo failed to import the module (demo_exit: 1).
FlowAR is an image generation framework that combines scale-wise autoregressive modeling with Flow Matching.
Static: The repository contains a complete implementation including model definitions, training scripts, and evaluation code, along with published weights and a clear project structure.
TAM is a scalable, multi-headed cross-attention module designed to inject cardiac motion information into segmentation models.
Static: The repository contains only a few files (including a notebook and media) and explicitly states that 'Implementation details and updated code will be released soon', indicating it is
This repository contains a detailed historical and technical overview of the Concorde supersonic airliner.
Static: The repository contains no executable code or software; it is a collection of documentation and text files.
A Metasploit module that exploits an authenticated improper input validation vulnerability in the WordPress 'Popular Posts' plugin (<= 5.3.2).
Static: The artifact is a Metasploit module (Ruby code) provided as a repository, not a standalone runnable application, and it requires the Metasploit Framework environment to execute.
DAM is a framework for accelerating long-context inference in Large Language Models by generating adaptive sparse attention masks.
The sandbox installation failed (install_exit: 137) and the demo failed to execute due to missing dependencies.
A curated repository of resources, patterns, and templates for building reliable AI agent infrastructure.
Static: The artifact is a curated collection of documentation, links, and templates rather than a runnable software package.
A comprehensive Douyin downloader that supports downloading videos, image-notes, music, and entire user profiles.
The project has a comprehensive structure with 359 passing tests and a successful installation (install_exit: 0), though some specific proxy tests failed and the demo script failed due to im
A curated repository of resources, tools, and best practices for using Anthropic's Claude Code agent.
Static: The artifact is a curated list of resources and documentation (a 'curated list' or 'awesome' repo) rather than a runnable software product.
TSAM is a framework for completing multi-modal knowledge graphs by incorporating structural information.
The sandbox failed to install dependencies (install_exit: 1) and the demo failed to run, indicating the environment is not currently functional.
AdaMF-MAT is a framework for Multi-modal Knowledge Graph Completion (MMKGC) that addresses the imbalance of modality information among entities.
The installation failed (install_exit: 2) and the demonstration failed (demo_exit: 1), indicating the environment could not be set up or the entry points were not correctly configured.
NativE is a framework for Multi-modal Knowledge Graph Completion (MMKGC) that addresses data diversity and imbalance.
The installation failed due to an incorrect requirement format (Python==3.8) and the demonstration script failed to import the application.
KoPA is a framework designed to improve Knowledge Graph Completion (KGC) by integrating structural information into Large Language Models (LLMs).
The project failed to install dependencies (install_exit: 1) due to a missing git tag/branch, and the demo failed to run.
Customized-GRPO is a framework that uses Group Relative Policy Optimization (GRPO) to improve subject-driven image generation.
The sandbox failed to install dependencies (install_exit: 1) and the demo failed to execute, indicating the environment cannot currently build the project.
Mind-the-Glitch is a framework for detecting visual inconsistencies in subject-driven image generation.
The installation failed (install_exit: 137) and the demo failed to run, indicating the environment could not be set up or executed.
MorphSIG is a training-free framework for subject-driven image generation that treats the task as pseudo-video feature transport.
Static: The repository contains a research paper abstract and a dataset description but lacks the actual code implementation (which is withheld until publication).
Textual Localization is a text-to-image diffusion framework designed to handle multi-concept input images for subject-driven generation.
The project has a complete file structure, clear installation/training scripts, and the smoke test confirmed the package imports successfully (demo_exit: 0).
A RAG (Retrieval-Augmented Generation) pipeline that uses LangGraph to implement a cyclical workflow for self-correction and hallucination detection.
The installation succeeded (install_exit: 0), but the main script failed to run due to a missing module (ModuleNotFoundError) and no test suite was found.
LoopCraft is a runtime harness and plugin for the Hermes AI agent framework that implements 'loop engineering.' It wraps tool execution with a structu.
The sandbox run shows successful dependency installation (install_exit: 0), 129 passing tests (pytest_exit: 0), and a successful demo execution (demo_exit: 0).
A comprehensive catalog of 34 Retrieval-Augmented Generation (RAG) techniques ranging from basic retrieval to advanced agentic and GraphRAG workflows.
Static: The artifact is a collection of documentation and pseudocode (a catalog) rather than a runnable software implementation.
LeAgent is an open-source desktop AI agent that provides a self-hostable stack for multi-turn chat, visual workflows, and tool execution.
The sandbox failed to install dependencies (npm_install_exit: 1) and run tests (npm_test_exit: 1), indicating the environment cannot currently build the project.
IDPT is a prompt tuning framework for pre-trained point cloud models that uses a lightweight module to generate instance-aware prompt tokens.
The sandbox failed to install dependencies (install_exit: 1) and the entry point failed to run due to missing modules.
DAPT is a parameter-efficient transfer learning framework for point cloud analysis.
The installation failed (install_exit: 1) due to missing dependencies (open3d), and the smoke test/demo failed to execute.
RESTai is an AIaaS (AI as a Service) platform that provides a unified interface for managing multiple AI projects, including RAG, Agents, and Knowledg.
The sandbox failed to install dependencies (install_exit: 1) and run tests (pytest_exit: 4), and the demo execution failed due to missing modules.
A research thesis exploring compact deep learning models for image generation, specifically evaluating Neural Style Transfer (NST), Autoencoders (AEs).
Static: The artifact is a research thesis and academic repository containing notebooks and model files rather than a deployable software package.
UNO is a unified framework for Video Scene Graph Generation (VidSGG) that simultaneously handles box-level and pixel-level tasks.
The sandbox failed to install dependencies (install_exit: 1) and the smoke test failed to run due to missing core packages (ModuleNotFoundError: No module named 'numpy').
Teloi is an object-centric knowledge management system and block-based text editor.
The sandbox failed to install dependencies due to 'workspace:*' protocol errors (npm_install_exit: 1) and the project is explicitly described as an early prototype.
LucidDreaming is a 3D generation pipeline that enables the creation of high-quality 3D shapes and scenes.
The installation failed due to a missing 'torch' dependency (install_exit: 1) and the demo failed to execute.
O3V is a framework for generating and decomposing 3D videos by learning object-centric representations.
The repository contains a complete implementation of the research paper with clear training scripts and data generation pipelines, and the environment successfully installed dependencies (in
EVA is an AI-assisted penetration testing agent that automates and guides offensive security workflows.
The project has a clear structure, a defined package manifest (pyproject.toml), and successfully installed dependencies (install_exit: 0), though the demonstration script failed due to a mod
CocoPlus is an AI-powered development lifecycle plugin for the Snowflake Cortex Code CLI that implements multi-agent workflows for data engineering.
Static: The project lacks a standard build manifest or executable flow in the sandbox (LANG: static-only), and it is structured as a plugin for a specialized CLI tool.
A fully customizable and self-hosted sandboxing solution for AI agent code execution and computer use.
PentestAgent is an AI agent framework designed for automated black-box security testing, including bug bounty and red-team workflows.
The project has a complete structure with successful installation (install_exit: 0) and a successful import demonstration (demo_exit: 0), although some unit tests for LLM memory/token counti
VILA is a machine unlearning framework that improves upon the FILA method by refining Fisher information estimation to account for distributional mism.
The sandbox failed to install dependencies (install_exit: 137) and the demonstration script failed with a ModuleNotFoundError.
A collection of machine learning research paper implementations focusing on inference efficiency and model optimization.
Static: The repository contains multiple files and folders but lacks a standard build manifest or execution evidence, and the file structure suggests a collection of separate research implem
Fed-SB is a framework for federated fine-tuning of Large Language Models (LLMs) using a specialized Low-Rank Adaptation (LoRA-SB) method.
The installation failed (install_exit: 1) due to missing/incompatible dependencies (nvidia-cublas-cu12), and no test suite was found.
MiSS is a Parameter-Efficient Fine-Tuning (PEFT) method that uses a low-rank structure with a novel Matrix Shard Sharing mechanism.
Static: The repository contains a complete implementation structure including training scripts, configuration files, and a clear integration path with Hugging Face's PEFT library.
A reference implementation of the TDPO algorithm for training language models using preference data.
The sandbox failed to install dependencies (install_exit: 2) and the demo failed to run (demo_exit: 1).
A software development kit (SDK) for the FIRST Tech Challenge (FTC) robotics competition.
Static: The artifact is a legacy competition SDK for a past season (2019-2020) and is provided as a reference for robot control software.
A training framework for aligning diffusion models using Direct Preference Optimization (DPO).
The installation failed (install_exit: 1) due to missing dependencies (torch) and the demo failed to execute.
A reference implementation of the DPO algorithm for fine-tuning Large Language Models (LLMs) using preference data.
The sandbox failed to install dependencies (install_exit: 2) and the demo failed to run (demo_exit: 1).
A curated repository of research papers and code repositories focused on maintaining identity consistency in image and video generation.
Static: The artifact is a curated list of papers and links, not a runnable software package or library.
A CLI tool and library providing pre-configured agents, commands, settings, and Model Context Protocol (MCP) integrations for Anthropic's Claude Code.
The package installs successfully (npm_install_exit: 0) and includes a comprehensive set of templates, documentation, and CLI tools, though it lacks a robust test suite.
A low-latency, modular voice-agent pipeline that handles the flow of Voice Activity Detection (VAD), Speech-to-Text (STT), Large Language Model (LLM) .
The sandbox execution failed to install (install_exit: 137), and tests encountered 21 errors, indicating the package is not currently functional in a standard environment.
A Docker containerized environment for InstantID, a framework for zero-shot identity-preserving image generation.
The sandbox failed to install dependencies (install_exit: 1) due to missing onnxruntime-gpu and the demo failed to run.
This is a static website repository serving as a landing page or documentation site for IPRO, a research project focused on Identity-Preserving Image-.
Static: The repository contains only static web files (HTML, CSS, JS, images) and no executable code or build manifests.
A Docker containerized environment for InstantID, a tool for zero-shot identity-preserving image generation.
Static: The repository contains a complete Dockerfile, build configurations (docker-bake.hcl), and a structured file layout for multiple tools (InstantID, Jupyter Lab, Code-Server).
RAGFlow is an open-source Retrieval-Augmented Generation (RAG) engine that integrates agentic capabilities to create a context layer for Large Languag.
The sandbox failed to install dependencies due to Python version mismatch (requires 3.13, found 3.12) and tests/demo failed to execute.
A persistent context and memory compression system for AI agents.
The sandbox failed to install dependencies (npm_install_exit: 1) and tests could not run due to missing 'bun' (npm_test_exit: 127).
A comprehensive collection of over 100 AI Agent and RAG (Retrieval-Augmented Generation) application templates.
The sandbox failed to install dependencies (install_exit: 137) and the demo failed to execute, indicating the environment could not successfully build the project.
LangChain is an agent engineering platform and framework designed to build LLM-powered applications.
The sandbox failed to build and run (make_exit: 2) due to missing dependencies (uv: not found), and no successful execution evidence was provided.
A comprehensive repository containing the extracted system prompts, tool descriptions, and sub-agent instructions for Anthropic's Claude Code.
Static: The repository is a collection of markdown files and documentation (not runnable code) providing a comprehensive list of extracted system prompts.
Agent S is an open-source framework for creating autonomous GUI agents that interact with computers like humans.
The dependencies installed successfully (install_exit: 0) and the quickstart demo executed successfully (demo_exit: 0), although some tests failed to collect due to import errors.
A persistent file-based planning system for AI coding agents that maintains task progress, findings, and plans in markdown files on disk.
Static: The repository contains a comprehensive set of scripts (sh, ps1, py), documentation, and a clear file structure with multiple forks and integrations, indicating a mature and well-doc
CowAgent is an open-source AI Agent Harness that enables LLMs to plan tasks, use tools, and maintain long-term memory.
The project has a complete structure, multiple files, and a successful installation (install_exit: 0), though some tests failed and the demo script was not found.
ProtoMotions is a GPU-accelerated simulation and learning framework designed for training humanoid robots and digital humans.
The dependencies installed successfully (install_exit: 0) and the package imports correctly, but the demonstration scripts failed due to missing environment-specific dependencies (e.g., isaa
The paper addresses a flaw in On-Policy Self-Distillation (OPSD) where models learn to mimic reference shortcuts rather than reasoning steps.
Static: The artifact is a research paper (arXiv) providing a theoretical framework and experimental results, not a runnable software implementation.
The paper introduces STEER, a gradient-guided attack that identifies words in a prompt that trigger a model's refusal mechanism.
Static: The artifact is a research paper (arXiv) describing a methodology and experimental results, not a software repository.
DRIFTLENS is a framework designed to quantify how personalized memory (user attributes, preferences) alters the reasoning trajectories of Large Langua.
Static: The artifact is a research paper describing a framework and experimental results, not a software implementation.
The research identifies 'hidden evidence-use forgetting' in Multimodal Large Language Models (MLLMs), where models retain correct answers but lose the.
The artifact is a research paper (arXiv) describing a theoretical framework and experimental results, not a software implementation.
Maven is a reinforcement learning framework designed to improve long-context reasoning by rewarding the model's ability to manage an editable evidence.
Static: The artifact is a research paper describing a new RL framework and methodology.
The research investigates how social structures (roles, audiences, and relational contexts) influence the behavior of LLM agents.
Static: The artifact is a research paper/article providing a theoretical framework and experimental results, not a runnable software implementation.
The paper explores security risks in autonomous AI coding agents that work on persistent codebases over multiple iterations.
The artifact is a research paper (arXiv) providing a theoretical framework and experimental results, not a software implementation.
HOLA is a semiparametric memory architecture that combines linear attention with a bounded exact Key-Value (KV) cache.
Static: The artifact is a research paper describing a new model architecture and training results, not a software repository.
Vera is an automated safety testing framework that applies software engineering principles to evaluate LLM agents.
Static: The artifact is a research paper describing a framework and a benchmark suite, not a runnable software package.
A research pipeline that automates the process of moving from a corpus of scientific papers to a publication-grade manuscript.
Static: The artifact is a research paper describing a methodology and experimental results, not a software repository.
LayoutBench is a diagnostic benchmark for evaluating layout-guided image generation.
The installation failed (exit 137), and the smoke test/demo failed due to missing dependencies (ModuleNotFoundError: No module named 'numpy').
A diagnostic benchmark and evaluation framework for layout-guided image generation involving real-world objects.
The sandbox failed to install dependencies (install_exit: 2) and the demo failed to run due to missing modules.
IterInpaint is a framework for layout-guided image generation that uses an iterative inpainting approach.
The sandbox failed to install dependencies (install_exit: 1) and could not run the demo or smoke tests due to missing modules.
A PyTorch-based framework for generating controllable document images based on layout information.
The sandbox failed to install dependencies (install_exit: 1), and subsequent tests and demonstrations failed due to missing modules (pytest_exit: 2, demo_exit: 1).
A curated repository and survey of research papers, benchmarks, and open-source projects focused on Graph Retrieval-Augmented Generation (GraphRAG).
Static: The artifact is a curated list of resources and a survey paper, not a runnable software package.
ReX-GoT is a framework designed to solve Dialogue Commonsense Multi-choice Question Answering (DC-MCQ) by mimicking human cognitive processes.
Static: The repository contains a complete project structure with model definitions, training scripts, and data loading utilities, following a clear research paper implementation.
KGoT is an AI assistant architecture that combines Large Language Model (LLM) reasoning with dynamic Knowledge Graph (KG) construction.
The project has a complete file structure, clear documentation, and a successful import demonstration (demo_exit: 0), although the installation process failed in the sandbox (install_exit: 1
OLED is a development environment for creating and evaluating domain ontologies using the OntoUML language.
Static: The project is archived and lacks a standard build manifest, but contains a comprehensive set of Java files and project structures for an ontology editor.
A proxy middleware that routes Anthropic Messages API traffic from Claude Code and Codex to various providers (e.g., NVIDIA NIM, DeepSeek, Ollama).
The sandbox failed to install dependencies due to a Python version mismatch (requires >=3.14.0), and tests/demo failed to execute.
A security and reliability framework for autonomous AI agents that provides policy enforcement, zero-trust identity, and execution sandboxing.
The sandbox build and test processes failed (build_exit: 101, test_exit: 101) due to Rust compiler version incompatibilities.
An open-source home automation platform that provides local control over smart home devices.
The installation failed with a dependency conflict (install_exit: 1) and tests failed to run due to missing modules (pytest_exit: 4).
CMM is a comprehensive benchmark designed to evaluate hallucinations in Large Multimodal Models (LMMs) across language, visual, and audio modalities.
Static: The artifact is a research paper and dataset repository for evaluating model hallucinations, not a runnable software tool.
MTVQA is a benchmark designed to evaluate the multilingual text-centric visual question answering (TEC-VQA) capabilities of Multimodal Large Language .
Static: The artifact is a research benchmark and dataset repository, providing evaluation scripts and data rather than a runnable software application.
Omni-SafetyBench is a comprehensive safety evaluation benchmark for Omni-modal Large Language Models (OLLMs) that process text, images, video, and aud.
Static: The artifact is a research paper and dataset repository providing a benchmark framework and data files rather than a runnable software application.
DisenBooth is a fine-tuning method for text-to-image generation that enables high-fidelity subject customization while disentangling the subject's ide.
Static: The repository contains a complete implementation including training scripts, a custom network architecture, and an inference notebook, following a published ICLR 2024 paper.
SISO is a training-free framework for personalizing image generation and editing using a single subject image.
The sandbox failed to install dependencies (install_exit: 1) and could not run demonstration scripts due to missing core dependencies like 'torch'.
LatentUnfold is a zero-shot framework for subject-driven image generation using the Flux model.
The installation failed (install_exit: 1) due to dependency resolution errors, and the code produced an IndentationError during execution.
ZenCtrl is a comprehensive image generation framework that enables high-resolution, multi-view, and task-specific image creation from a single subject.
The project has a clear structure, released model weights, and a functional Gradio entrypoint (demo_exit: 0), though the installation failed in the sandbox (install_exit: 137).
A research project exploring how to maintain user identity consistency when generating images based on reference scenes.
Static: The artifact contains no executable code or build manifests, consisting instead of a collection of image files and a web page, making it a research/reference resource.
A framework designed to solve 'character drift' in AI image generation by using reference-based encoding.
The dependencies installed successfully (install_exit: 0) and the project structure is complete with a clear implementation, though the demo failed due to missing local files (hero_reference
A ComfyUI extension that integrates the DreamOmni2 (Qwen2.5-VL) model to provide multimodal instruction following for image generation and editing.
The installation failed (install_exit: 137) and the demonstration script failed to import the module.
ImgX Studio is a professional, self-hosted WebUI for GPT Image and OpenAI-compatible image APIs.
The project has a complete structure with a clear manifest, comprehensive documentation in multiple languages, and a successful dependency installation (npm_install_exit: 0), though it lacks
LOOC is a response-aware prompt compression technique designed to mitigate 'lost-in-the-middle' issues in long-context question answering.
Static: The repository contains a clear structure with model-specific implementations (Llama3.1, Qwen2.5), clear instructions for execution, and associated datasets.
A system that optimizes LLM token costs by dynamically compressing prompts using Contextual Multi-Armed Bandits (LinUCB).
The sandbox execution failed with 'install_exit: 137' and 'pytest_exit: 2', and the demo scripts encountered 'ModuleNotFoundError' for dependencies like numpy.
Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design.
The project is a well-established, mature framework with a complete file structure and documentation, though the sandbox tests failed due to environment/dependency issues (pytest_exit: 2).
RomM is a self-hosted ROM manager and player that allows users to scan, enrich, and browse game collections.
The sandbox failed to install the package (install_exit: 1) and the demo failed to import the module (demo_exit: 1).
Ansible is an IT automation platform used for configuration management, application deployment, and cloud provisioning.
The sandbox execution failed to run tests (pytest_exit: 2) and the demonstration import failed (demo_exit: 1) due to missing dependencies.
A prompt engineering technique designed to perform 'Contextual Compression' by condensing conversation history into a single, dense prompt.
Static: The artifact is a collection of prompt engineering techniques and documentation rather than executable code.
The project implements LLM Lingua, a technique for compressing prompts to reduce token usage in Large Language Models.
The installation failed (install_exit: 1) due to missing PyTorch dependencies for 'auto-gptq', and the application failed to import the required 'llmlingua' module.
A LangGraph-based agent framework designed for OCRing historical Chinese text.
The installation failed due to dependency resolution errors (install_exit: 1) and the demo failed to import the module.
A Python wrapper for MLX-LM that simplifies running local LLMs on Apple Silicon.
The dependencies installed successfully (install_exit: 0) and the project structure is complete, though the demo failed due to missing system-level MLX libraries.
A speaker diarization and transcription pipeline tailored for the Uzbek language.
The installation failed (install_exit: 137) and no test suite was found, indicating the environment could not be set up.
A pipeline designed to remove censorship from the gpt-oss-20b model using an iterative process with uncensored teacher models (like LLaMA-3 Uncensored.
Static: The project is in a work-in-progress state with a complex pipeline (requiring significant hardware and multi-step execution) and lacks a successful execution trace.
Agenta is an open-source LLMOps platform designed for building and deploying production-grade LLM applications.
The sandbox failed to install dependencies (npm_install_exit: 1) and run tests (npm_test_exit: 1) due to package manager errors.
Cua provides a comprehensive infrastructure for building and evaluating AI agents that interact with desktop environments.
The sandbox execution failed to install dependencies (install_exit: 1) and tests failed (pytest_exit: 5), indicating the environment is not currently stable or correctly configured.
A code-first Python framework for building, evaluating, and deploying AI agents.
The package installs successfully (install_exit: 0) and the demonstration runs (demo_exit: 0), although the test suite shows significant failures (99 failed), indicating issues with specific
MLflow is an open-source AI engineering platform designed to manage the machine learning lifecycle, specifically tailored for LLMs and AI agents.
The project is a mature, widely-used library with a clear structure and successful imports, although the sandbox test suite encountered errors (pytest_exit: 2).
A comprehensive guide and repository for building with the Llama model family, covering inference, fine-tuning, and Retrieval-Augmented Generation (RA.
The sandbox failed to install dependencies due to a dependency resolution error (install_exit: 1) and the demonstration script failed to import the module.
FunASR is an industrial-grade speech recognition toolkit that provides multiple models for tasks like ASR, speaker diarization, and emotion detection.
The project has a comprehensive structure, clear documentation, and successful dependency installation (install_exit: 0), though some tests failed (pytest_exit: 3).
LiteLLM is an open-source AI Gateway and Python SDK that provides a unified interface for interacting with over 100 LLM providers (e.g., OpenAI, Anthr.
The project has a comprehensive file structure, multiple test suites, and a successful import demonstration, although the test suite reported errors during the full run.
Bandit is a security-focused static analysis tool designed to find common security vulnerabilities in Python code.
The dependencies installed successfully (install_exit: 0) and the demonstration script ran successfully (demo_exit: 0), although some unit tests failed due to missing dependencies.
vLLM is a high-throughput and memory-efficient inference and serving engine for Large Language Models (LLMs).
The sandbox failed to install dependencies (install_exit: 1), failed to run tests (pytest_exit: 4), and the demo failed to execute due to missing dependencies (demo_exit: 1).
A real-time image and video processing application that identifies faces and applies a blurring effect.
The dependencies installed successfully (install_exit: 0) and the project structure contains a clear implementation, though it lacks a formal test suite.
A research project focused on anonymizing faces in images while preserving their underlying attributes.
Static: The repository contains no files, manifests, or code structure, indicating it is a placeholder or an empty repository.
A research project and workflow collection for generating high-fidelity human faces that maintain consistent identity across different poses and style.
Static: The artifact is a collection of workflow files and documentation for ComfyUI rather than a standalone executable application.
A research prototype for performing training-free identity transfer in the Qwen-Image-Edit framework.
The sandbox failed to install dependencies (install_exit: 1), and tests/demonstrations failed due to missing modules (pytest_exit: 2, demo_exit: 1).
A document analysis system that builds local knowledge bases from PDF files using LangChain and Neo4j.
The installation failed (install_exit: 137) and the application failed to import dependencies (ModuleNotFoundError: No module named 'jieba'), indicating the environment is not correctly set
A framework for automatically or semi-automatically generating Ontologies and Knowledge Graphs (KGs) using Large Language Models (LLMs).
The sandbox failed to install dependencies due to a missing/incompatible cupy-cuda12x version (install_exit: 1) and the demonstration failed to import the required module.
A comprehensive library of modular instruction packages (skills), agent personas, and Python tools designed to provide domain expertise to AI coding a.
The sandbox failed to install dependencies (install_exit: 1) and the demo failed to run (demo_exit: 1), indicating the environment setup or package structure is not currently functional.
Docs2KG is a tool for constructing unified Knowledge Graphs (KGs) from heterogeneous documents (PDF, DOCX, HTML, EPUB) using a human-LLM collaborative.
The package was successfully installed (install_exit: 0) and the public API was accessible (demo_exit: 0), though pytest_exit: 5 indicates some test failures.
AutoKG provides a framework for Knowledge Graph (KG) construction and reasoning using Large Language Models (LLMs).
Static: The repository contains a complete project structure including datasets, prompt engineering scripts, and a multi-agent implementation based on CAMEL and LangChain.
HelixDB is an OLTP graph-vector database built in Rust that supports graph, vector, KV, document, and relational data models.
The build and test processes failed due to a Rust compiler version mismatch (build_exit: 101, test_exit: 101).
Yuxi is a multi-tenant agent harness and enterprise knowledge base platform that integrates RAG (Retrieval-Augmented Generation) with knowledge graphs.
The sandbox failed to execute (make_exit: 2) due to missing environment configuration, and no successful build or test output was recorded.
Graphiti is an open-source framework for building and querying temporal context graphs for AI agents.
The library successfully imports and exposes its public API, but the test suite failed (pytest_exit: 4) and the demo failed due to missing credentials.
GitNexus is a code intelligence engine that builds a comprehensive knowledge graph of repositories, including dependencies, call chains, and execution.
The project has a complex monorepo structure with multiple languages, a clear architecture, and a package manifest, but the automated test script failed to run (npm_test_exit: 1).
A research project focused on identifying irony and sarcasm in text using both Machine Learning and Deep Learning techniques.
Static: The repository is a research thesis project containing scripts, notebooks, and reports rather than a deployable software product.
An educational article explaining the definitions and distinctions between Artificial Intelligence and Machine Learning.
Static: The artifact is a text-based article/blog post and not a runnable software repository.
A machine learning project focused on credit scoring to predict the probability of loan default.
Static: The artifact consists of a collection of Jupyter notebooks and documentation rather than a runnable software package or library.
A collection of creative writing and tech-focused wishlists regarding futuristic gadgets and toys..
Static: The repository contains no code or executable files, appearing to be a collection of text/narrative content.
Golutra is a multi-agent AI orchestration platform and desktop application that integrates multiple CLI tools (like Claude Code, Gemini CLI, and Codex.
The sandbox failed to install dependencies (npm_install_exit: 1) and tests could not run (npm_test_exit: 127).
An open-source framework that enables LLM agents to interact with websites and web applications.
The library installs successfully (install_exit: 0) and is importable, but the test suite failed (pytest_exit: 4).
A comprehensive repository and directory of over 500 AI agent use cases and implementations across various industries.
Static: The repository is a curated collection of links, documentation, and project files rather than a single runnable application.
A persistent, multi-agent development framework for Claude Code that maintains state across sessions using a memory system and YAML handoffs.
The installation failed (install_exit: 137) and the demonstration failed due to a missing module, indicating the environment is not currently runnable.
An AI agent framework that emphasizes plan-first development and human-in-the-loop execution.
The sandbox test suite failed (npm_test_exit: 1) due to invalid enum values in the test runner.
A research repository that reimplements and extends a deep learning framework for grading diabetic retinopathy severity from retinal fundus images.
Static: The artifact is a research study and notebook-based repository without a standard build manifest or executable code structure.
E3-FaceNet is a framework for generating and manipulating 3D-aware human faces from text descriptions.
The installation failed due to a git clone error (install_exit: 1) and the demonstration failed to import the application module.
TT-GNeRF is a framework for training and tuning Generative Neural Radiance Fields (GNeRF) to generate 3D-aware faces with specific attributes.
Static: The repository contains a complete project structure with multiple Python and CUDA files, clear documentation, and specific scripts for training, editing, and geometry transfer.
AniFaceGAN is a 3D-aware GAN that generates multiview-consistent face images and video avatars.
Static: The repository contains a complete project structure with inference code, datasets, and pre-trained models, but it is marked as 'static-only' and cannot be executed in the sandbox.
LiftedGAN is a framework that extends 2D StyleGAN models to generate 3D-aware face images.
The installation failed due to incompatible torch version requirements (install_exit: 1) and the demo failed to execute.
HippoRAG is a Retrieval-Augmented Generation (RAG) framework that mimics human long-term memory by combining Knowledge Graphs with Personalized PageRa.
The sandbox failed to install dependencies (install_exit: 1) and execute tests (pytest_exit: 2) due to missing core packages like numpy.
Memvid is a portable, file-based memory system for AI agents that replaces complex RAG pipelines with a single-file storage format.
The build and test processes failed (build_exit: 101, test_exit: 101) due to incompatible Rust compiler versions required by dependencies.
An orchestration layer for managing multiple AI coding agents in parallel.
The project has a complex structure with multiple languages (Go, TypeScript, SQL) and a clear package manifest, but the test script failed to run due to a missing 'test' command in the packa
Astron Agent is an enterprise-grade platform for building and deploying Agentic Workflows.
The project has a comprehensive file structure including multi-language support (Java, Python, TS, Go) and a professional build system (make) that successfully completed its test sequence (m
DECA is a 3D face reconstruction and animation framework that reconstructs detailed facial geometry from a single input image.
The sandbox failed to install dependencies (install_exit: 1) and the demo failed to execute (demo_exit: 1).
Claude Code is an agentic command-line interface (CLI) tool that allows users to interact with their codebase using natural language.
Static: The project has a comprehensive file structure, including a plugin system, examples, and multiple configuration files, indicating a complete and documented implementation.
Hermes is a self-improving AI agent that features a closed learning loop for creating and refining skills based on user interaction.
The sandbox results show that while dependencies installed correctly (install_exit: 0), the test suite failed significantly (pytest_exit: 2) and the demonstration failed to execute (demo_exi
A comprehensive model-definition framework that provides a unified API for state-of-the-art machine learning models across text, vision, audio, and mu.
The library is a mature, industry-standard tool with a clear project structure, extensive documentation, and high file counts; however, the sandbox encountered a 'Killed' status and a 'Modul
A deep learning framework for reconstructing 3D faces from single images using direct volumetric CNN regression.
Static: The artifact lacks a standard build manifest and is flagged as static-only, with a file structure indicating a research project rather than a production-ready package.
EO-WM is a video diffusion transformer designed to forecast Earth surface dynamics (like vegetation changes) by treating weather as a complex conditio.
Static: The artifact is a research paper describing a model and new benchmarks, not a runnable software package.
The paper introduces 'OpenAgent', a framework that formalizes the challenges of LLM agent generalization across shifting query, action, and domain dim.
Static: The artifact is a research paper/article describing a framework and methodology rather than a runnable software package.
The paper analyzes human oversight of AI agents where both parties have private information: the human knows the reward function, and the AI knows the.
Static: The artifact is a research paper (arXiv) providing theoretical analysis and mathematical proofs, not a software implementation.
The paper introduces a control system that manages autonomous agents (single or multi-agent) using a set of execution 'gears' and utility-gated dispat.
The artifact is a research paper (arXiv) providing a theoretical framework and experimental results, not a software implementation.
The paper explores using a prediction-error 'surprise' signal to gate plasticity and enable metacognition in AI models.
The artifact is a research paper (arXiv) describing theoretical and experimental results, not a software implementation.
The paper analyzes how the choice of performance metrics determines whether AI capabilities will be concentrated in frontier models or distributed via.
Static: The artifact is a research paper (arXiv) and does not contain runnable code or software.
The paper presents a solver for the ARC-AGI-2 benchmark that treats different reasoning modalities (text, image, and code) as independent search opera.
Static: The artifact is a research paper/article describing a methodology and experimental results, not a runnable software package.
The paper explores how Large Language Models (LLMs) represent safety as distinct 'harmfulness' and 'refusal' directions in their internal residual str.
Static: The artifact is a research paper (arXiv) providing theoretical analysis and experimental results, not a runnable software implementation.
Mnemosyne implements Agentic Transaction Processing (ATP), a framework that treats AI-generated actions as untrusted proposals.
Static: The artifact is an academic paper and research publication (arXiv) without a runnable code execution in the provided context.
RareDxR1 is a reasoning-centric large language model designed to diagnose rare diseases directly from unstructured clinical notes.
Static: The artifact is a research paper (arXiv) and does not contain a runnable codebase or experimental results in a public repository.
The research introduces Graph-PRefLexOR, a family of models that use Graph-Native Reinforcement Learning (via GRPO) to generate scientific hypotheses.
Static: The artifact is a research paper describing a new methodology and model family, not a software repository.
Theoria is a verification architecture that converts AI-generated solutions into a sequence of typed state transitions, each requiring an explicit jus.
The artifact is a research paper describing a theoretical framework and experimental results, not a software implementation.
AutoMem is a framework that treats memory management in LLMs as a learnable cognitive skill (metamemory) rather than a fixed architectural component.
Static: The artifact is a research paper (arXiv) describing a framework and methodology rather than a software implementation.
A multi-agent LLM framework that automatically classifies chemical reactions and generates verifiable, deterministic rules for them.
Static: The artifact is a research paper describing a methodology and results, not a runnable software repository.
PRNet is a deep learning framework that jointly regresses dense 3D face geometry and 2D/3D facial alignment from a single image.
The project has a clear file structure and successfully installed dependencies (install_exit: 0), though the demo failed due to a missing 'tensorflow.contrib' module which is deprecated in m
A reproduction of the LT-DETR model (based on RT-DETRv2 and DINOv3) for detecting wildlife in thermal imagery.
The installation failed (install_exit: 137) and the demonstration failed due to missing dependencies.
A collection of high-fidelity reproductions of critical Kubernetes infrastructure failures.
Static: The artifact is a collection of documentation, lab environments, and post-mortem reports rather than a runnable software application.
A collection of Quality Assurance (QA) documentation and reports for a MERN stack application.
Static: The artifact consists of documentation files (test plans, reports, and scripts) rather than a runnable application or library.
A reproduction package for a research paper that assesses software vulnerabilities by accounting for concept drift.
Static: The artifact is a reproduction package for a research paper and lacks a standard build manifest or executable code path.
OpenMontage is an open-source agentic video production system that automates the entire video creation pipeline, including research, scripting, asset .
The sandbox run shows that while dependencies installed successfully (install_exit: 0), the test suite failed (pytest_exit: 2) and the demonstration script failed to import the module (demo_
Bertillon is an OSINT facial evidence toolkit designed for local image restoration and identity preservation.
The project is in a prototype state as the sandbox failed to execute tests (npm_test_exit: 1) and the environment lacks the necessary backend/GPU infrastructure to run the core restoration l
The project implements a face aging system using Identity Preserved Conditional Generative Adversarial Networks (IPCGANS).
Static: The repository contains Python scripts and model files but lacks a standard build manifest or clear execution environment, and the README indicates it is a research implementation.
An AI-powered photobooth service that leverages PuLID Flux for high-fidelity face identity preservation during scene transformations.
Static: The project lacks a runnable execution manifest and only contains a directory structure and README, indicating it is currently at the code/documentation stage.
A deep learning framework designed for super-resolving blurry face images while maintaining identity preservation.
Static: The project consists of sparse Python files and lacks a standard build manifest or comprehensive documentation, indicating an early-stage or research-oriented implementation.
A repository of official, verified instruction sets designed to teach AI agents how to optimally use NVIDIA software and libraries.
The sandbox execution failed with an installation error (install_exit: 137) and test failures (pytest_exit: 2) due to missing dependencies.
A community-curated directory of free public APIs across various domains.
The project is a comprehensive collection of data with a clear structure and successful test execution (31 passed tests), though the demonstration script failed to import.
A comprehensive curriculum and textbook for engineering AI systems, focusing on the practicalities of building reliable and robust intelligent systems.
Static: The repository is a comprehensive educational curriculum and textbook collection rather than a single runnable software product.
Kiln is an end-to-end AI development workbench that provides tools for evaluating, optimizing, and deploying AI systems.
The sandbox failed to install dependencies (install_exit: 1) and the demonstration failed to import the module (demo_exit: 1).
WeKnora is an enterprise-grade LLM knowledge framework that transforms raw documents into queryable RAG systems, autonomous reasoning agents, and self.
The sandbox build and test processes failed (build_exit: 1, test_exit: 1), indicating the project is not currently in a runnable state.
Opik is an open-source observability and evaluation platform for LLM applications, RAG systems, and agentic workflows.
The project has a comprehensive file structure, multi-language SDK support (Python, etc.), and clear documentation, though the 'test' make target failed.
Promptfoo is a CLI and library for evaluating and red-teaming Large Language Model (LLM) applications.
The sandbox failed to install dependencies (npm_install_exit: 1) and tests could not run (npm_test_exit: 127).
A curated collection of programming problems and projects ranging from basic algorithms to complex data structures.
Static: The artifact is a collection of project descriptions and requirements rather than a runnable software application.
Graph-CoT is a framework that enables Large Language Models (LLMs) to reason over structured graph data by iteratively traversing nodes and edges.
The installation failed (install_exit: 137) and the demo failed to run, indicating the environment setup is currently broken.
MindMap is a plug-and-play prompting framework that enables Large Language Models (LLMs) to reason using a 'Graph of Thoughts' approach.
The installation failed (install_exit: 1) and the demonstration failed to run, indicating the environment cannot currently execute the code.
An official framework for solving complex problems by modeling them as a Graph of Operations (GoO) executed by a Large Language Model.
The code structure is complete and includes multiple examples, but the sandbox encountered a `ModuleNotFoundError` (missing 'backoff') and a `Killed` status, indicating the environment setup
A research benchmark and implementation for generating faces that maintain a specific identity while following demographic prompts (age, race).
The sandbox execution failed to install dependencies (install_exit: 1) and run tests (pytest_exit: 2) due to missing modules.
A high-resolution image upscaling framework that utilizes a Qwen Image Edit LoRA and PatchGAN adversarial training.
Static: The repository contains no standard build manifest or execution environment, and the file structure indicates a research-oriented project with limited infrastructure.
A research project focused on generating realistic face images that preserve a specific person's identity across various poses and expressions.
Static: The artifact is a university project repository containing research notebooks, datasets, and documentation rather than a deployable software product.
A system for maintaining consistent AI character identity across different scenes and poses using 'Textual Inheritance' instead of LoRAs or IP-Adapter.
The project has a clear structure, includes multiple JSON/Python files, and a defined manifest, but the demo failed to import the module.
PyTorch is a Python-based machine learning library that provides a tensor computation system with GPU acceleration and a tape-based autograd system fo.
The library has a comprehensive structure, clear documentation, and successful dependency installation (install_exit: 0), although the sandbox tests failed (pytest_exit: 137) and the demo fa
Langflow is a low-code platform for building and deploying AI agents and multi-agent workflows.
The sandbox failed to install dependencies (install_exit: 137) and the demonstration import failed (demo_exit: 1).
A standardized, open-source format for packaging AI agent capabilities, knowledge, and workflows into portable folders.
Static: The artifact is a specification and documentation framework for a standard, not a runnable software application.
A research project focused on 3D novel view synthesis of human heads using sparse camera inputs.
Static: The repository is a diploma thesis in progress with sparse file structure and no executable build manifest.
A multi-tier deep learning system designed to detect deepfakes and face manipulations using a pipeline of ResNet, EfficientNet, and CLIP models.
The sandbox failed to install dependencies (install_exit: 137) and the demo failed to import the backend module.
FaceDiffuser is a fine-tuning framework that adapts Stable Diffusion v1.5 to generate high-fidelity, photorealistic human faces.
Static: The artifact consists of a research report, a notebook, and documentation without a runnable code package or build manifest.
The project implements a 3D facial reconstruction pipeline using Gaussian Splatting to generate multi-view synthetic images.
The sandbox failed to install dependencies (install_exit: 1) and the demo failed to run (demo_exit: 1), indicating the environment is not currently functional.
A collection of ComfyUI nodes that provide preprocessors for generating hint images used by ControlNet.
The sandbox failed to install the package (install_exit: 1), failed tests (pytest_exit: 2), and the demo_exit: 1 indicates it did not run successfully in the test environment.
ControlNet 1.1 is a suite of neural network models designed to provide spatial and structural control over Stable Diffusion image generation.
Static: The repository contains a complete set of model configurations, multiple specialized model implementations (Depth, Canny, OpenPose, etc.), and clear documentation for research use.
A WebUI extension that integrates ControlNet into the AUTOMATIC1111 Stable Diffusion interface.
The sandbox execution failed with multiple errors (install_exit: 137, pytest_exit: 2) and the demo failed to run due to missing modules.
ControlNet is a neural network architecture that enables precise control over diffusion models by adding extra conditions (like poses, edges, or depth.
Static: The repository contains a complete implementation with multiple Gradio-based interfaces, clear documentation, and pre-trained model support, though it is a research-heavy framework.
Menelaus is a Python library providing algorithms for detecting concept and data drift in machine learning models.
The library is well-structured with a comprehensive test suite and documentation, and the demo successfully executed (demo_exit: 0), although one test failed (pytest_exit: 1).
PKBoost is an adaptive Gradient Boosted Decision Tree (GBDT) library implemented in Rust that addresses concept drift in data distributions.
The sandbox failed to install the dependencies (install_exit: 1), and the test suite encountered multiple errors (pytest_exit: 2).
An ensemble framework designed to detect and adapt to concept drift in IoT data streams.
Static: The artifact is a research paper implementation and a collection of notebooks/documentation rather than a runnable software package.
HTTPX is a next-generation HTTP client for Python that provides both sync and async APIs.
The project has a comprehensive test suite (1413 tests) and a successful demo_exit, though some tests failed during the sandbox run.
Requests is a highly popular and elegant HTTP library for Python that simplifies making HTTP/1.1 requests.
The library is a production-standard package with a clean installation (install_exit: 0) and a high volume of passing tests (615 passed), despite some minor test failures.
MOA is an open-source framework designed for big data stream mining and large-scale machine learning.
The sandbox failed to execute the build (make_exit: 2) and the project lacks a successful execution trace.
Click is a composable command-line interface (CLI) toolkit for Python.
The library is a mature, production-stable project with a clear structure and successful installation (install_exit: 0), though some tests failed in the sandbox.
A multi-agent AI framework that automates educational workflows by simulating a tutoring cycle.
Static: The project has a basic file structure and clear architecture but lacks a comprehensive implementation or execution evidence.
A multi-robot warehouse simulation that uses Hierarchical Reinforcement Learning (HRL) for high-level task assignment and A* path planning for low-lev.
The sandbox failed to install dependencies (install_exit: 137) and the demo execution failed, indicating the environment is not currently runnable.
A multi-agent medical decision support system built with FastAPI and Google Gemini AI.
The project is in a prototype state because the installation succeeded, but the application failed to run due to missing module imports (ModuleNotFoundError: No module named 'models') and th
An adaptive tutoring system that uses six specialized LangChain agents to provide personalized education.
The project has a complete file structure with a clear multi-agent architecture, frontend/backend separation, and defined database schemas, though the automated test script failed due to a m
MATS-Gym is a multi-agent training and evaluation framework for autonomous driving in the CARLA simulator.
The sandbox execution failed with multiple 'ModuleNotFoundError' (carla, gymnasium, cv2) and the quickstart/examples could not run, indicating the environment is not fully functional in the
RouterArena is an open evaluation framework and leaderboard for LLM routers, which are systems that select the best model for a given query based on c.
The sandbox failed to install dependencies (install_exit: 137) and the demonstration script failed due to missing modules.
A Go-native framework for building production-grade AI agent systems.
The sandbox execution failed with a non-zero exit code (build_exit: 1 and test_exit: 1).
AssetOpsBench is a unified framework for developing, orchestrating, and evaluating AI agents tailored for Industry 4.0 asset operations and maintenanc.
The demo failed to run (demo_exit: 1) with a ModuleNotFoundError, and the project is in active development with multiple experimental branches.
An all-in-one agentic framework designed for video understanding, editing, and remaking.
Dependencies failed to install (install_exit: 1) and the smoke test/demo failed due to missing modules.
v2rayN is a cross-platform graphical user interface (GUI) client for network proxying.
Static: The project has a mature file structure, multiple platform-specific package scripts, and clear release history, indicating a complete and documented application.
A comprehensive book series that explores the internal mechanics and core concepts of the JavaScript language.
Static: The artifact is a collection of books/documentation (markdown files) and not a runnable software application.
Oh My Zsh is a community-driven framework for managing Zsh configurations.
Static: The project is a well-established, mature framework with a clear file structure, extensive documentation, and a large community footprint.
Vue is a progressive JavaScript framework for building user interfaces.
The sandbox failed to install dependencies due to unsupported workspace protocols and failed to execute tests (npm_test_exit: 127).
BISHENG is an enterprise-grade LLM application development and operations (DevOps) platform.
The sandbox execution resulted in multiple test failures (pytest_exit: 2) and the demo import failed with a ModuleNotFoundError.
A multi-language framework (Python and .NET) designed for building and orchestrating production-grade AI agents and multi-agent workflows.
The framework includes a comprehensive set of packages, documentation, and multiple language implementations, and the sandbox successfully executed the demo (demo_exit: 0).
Trigger.dev is an open-source workflow orchestration platform designed for building and deploying long-running AI agents and applications.
The sandbox failed to install dependencies (npm_install_exit: 1) and could not run tests (npm_test_exit: 127) due to missing toolchain/workspace configurations.
An open-source LLM orchestration framework designed for building production-ready RAG systems and autonomous agents.
The sandbox run failed with 72 errors (pytest_exit: 2) and the demonstration script resulted in a ModuleNotFoundError.
A Retrieval-Augmented Generation (RAG) system that constructs a knowledge graph from text and answers queries using a Graph of Thoughts (GoT) approach.
The installation failed (install_exit: 137) and the demonstration failed with a ModuleNotFoundError.
A stateful, graph-orchestrated hybrid RAG platform that integrates multi-hop reasoning with tool execution using LangGraph and SGLang.
Dependencies failed to install due to a Python version mismatch (requires <3.12, received 3.12.13) and the demonstration script failed with a ModuleNotFoundError.
A fractal-based mind-mapping and multi-agent workspace that combines graph theory with fractal geometry.
The project has a clear structure with a package manifest, multiple files, and a defined build pipeline, though it lacks a 'test' script in the package.json.
Neurite is a fractal-based mind-mapping and knowledge management platform that uses fractal geometry (like the Mandelbrot set) to organize and visuali.
The project has a complete file structure, a clear manifest, and successfully installs dependencies (npm_install_exit: 0), though it lacks a defined test script.
A curated collection of high-quality lists of awesome projects, software, and technologies.
Static: The artifact is a collection of markdown files and documentation, not a runnable software application.
YOLOv5 is a high-speed, accurate object detection and computer vision model framework based on PyTorch.
The sandbox failed to install dependencies and run tests (ModuleNotFoundError: No module named 'cv2') and the demo execution failed due to missing 'torch' and 'YOLOv5' modules.
Botasaurus is an all-in-one web scraping framework designed to bypass advanced bot detection systems like Cloudflare and Datadome.
The project has a comprehensive file structure, multiple packages, and a successful `demo_exit: 0` for the public API, though the browser-specific demonstration failed due to missing Chrome
An end-to-end face swapping system that combines multiple technologies to swap faces while preserving the identity, expressions, gestures, and backgro.
The project has a complete file structure and dependency manifest (npm_install_exit: 0), but the test script was missing (npm_test_exit: 1).
The paper presents a pipeline that automatically translates natural language agent instructions and tool descriptions into formally verified policies .
Static: The artifact is a research paper describing a methodology and benchmark results, not a runnable software implementation.
RosettaSim is a framework that models long-horizon traffic simulations by treating scene topology, agent states, and spawning intents as a structured .
Static: The artifact is an academic paper (arXiv) providing a theoretical framework and experimental results rather than a runnable software implementation.
EvoOptiGraph is a framework for improving LLM-based optimization modeling by co-evolving data and models.
Static: The artifact is a research paper describing a methodology and experimental results, not a runnable software implementation.
The paper introduces a mechanism for long-horizon language agents to calibrate their internal world models by proactively querying the environment.
Static: The artifact is a research paper (arXiv) providing a theoretical framework and experimental analysis, not a software implementation.
The paper proposes a framework for combining multiple frozen reasoning LoRA adapters into a single model using hard top-1 routing.
Static: The artifact is a research paper (arXiv) describing a theoretical framework and experimental results, not a software implementation.
Evo-PI is a framework that improves reasoning in Multimodal Large Language Models (MLLMs) by replacing static supervision with evolving principles.
Static: The artifact is a research paper describing a methodology and experimental results, not a runnable software package.
The provided artifact is a placeholder or reference to a non-existent or inaccessible arXiv paper.
The artifact contains no content or data to assess.
The provided artifact is a placeholder or reference to a non-existent or inaccessible arXiv paper as the URL and title do not correspond to a valid pu.
The provided URL and title do not point to a valid or accessible research paper.
The provided artifact is a placeholder or an invalid reference to an arXiv paper as the ID '2606.31478' does not correspond to a published paper at th.
The URL and title provided do not correspond to a valid or existing arXiv publication.
FARS is an AI-for-AI research system that automates the entire research lifecycle, including hypothesis generation, experimental execution, and manusc.
Static: The artifact is a research paper describing a system and its results, not a runnable software repository.
The provided artifact is a placeholder or reference to a non-existent or inaccessible arXiv paper.
No content or code was provided to assess.
The artifact is a placeholder or reference to a paper with the identifier 2606.31876.
The artifact contains only a placeholder ID and no actual content or files to evaluate.
The artifact is a placeholder or reference to a non-existent or yet-to-be-published arXiv paper.
The artifact contains no content or data to assess.
The artifact is a placeholder or reference to a non-existent or pending arXiv paper as the provided ID does not correspond to a published work..
The provided URL and ID do not correspond to a valid arXiv paper, making it impossible to assess.
A ComfyUI node implementation of ByteDance's Infinite You technology for identity preservation in image generation.
The installation failed (install_exit: 137) and the demo failed to run due to missing modules.
FastFace is a framework for improving identity preservation in distilled diffusion models.
The sandbox failed to install dependencies (install_exit: 1) and the demo failed to run (demo_exit: 1).
A ComfyUI implementation of the FlashFace framework for high-fidelity human image personalization.
The installation failed (install_exit: 137) and the demonstration import failed, indicating the environment could not be set up or run.
The paper presents GPT-3, an autoregressive language model with 175 billion parameters, demonstrating that scaling model size improves few-shot learni.
Reference_reason: The artifact is a research paper describing a model and its capabilities, not a software implementation or dataset.
BERT is a language representation model that pre-trains deep bidirectional representations by jointly conditioning on left and right context in all la.
Static: The artifact is a research paper describing a model architecture and training methodology, not a runnable software package.
A web application designed to streamline job applications by automating the creation of resumes and cover letters using the OpenAI API.
The project has a complete file structure with both frontend and backend components, a clear manifest, and successful dependency installation (npm_install_exit: 0), though it lacks a defined
A Python-based framework for training and generating professional headshots using LoRA (Low-Rank Adaptation) fine-tuning on Stable Diffusion.
The installation failed (install_exit: 137) and the demonstration script failed to import the required modules.
A multi-stage AI pipeline for generating professional headshots from casual selfies while maintaining identity fidelity.
The project has a comprehensive structure with multiple scripts, multi-language documentation, and a complex pipeline, though the automated 'npm test' failed due to a missing script entry.
A library that reads key-value pairs from `.env` files and sets them as environment variables.
The project has a high test pass count (223 passed), a successful smoke test (demo_exit: 0), and is listed as 'Production/Stable' in its manifest.
Deep Agents is an opinionated, batteries-included agent harness built on top of LangGraph.
The project has a clear structure, comprehensive documentation, and a comprehensive set of files, but the test suite failed to execute in the sandbox (maketest_exit: 2).
A custom fork of the Stable Diffusion WebUI specifically tailored for generating high-quality headshot photos.
The sandbox encountered 17 errors during test collection and the demonstration failed with a ModuleNotFoundError.
RULER is a framework that generates synthetic examples to evaluate the actual context window capabilities of long-context language models.
The installation failed due to a RuntimeError in the vllm dependency, and the demonstration script failed because the 'docker' module was missing.
Helios is a 14B parameter video generation model designed to produce high-quality, minute-scale videos in real-time (up to 19.5 FPS on a single H100 G.
The sandbox failed to install dependencies (install_exit: 137) and the entry point failed to run due to missing modules (ModuleNotFoundError: No module named 'gradio').
A comprehensive curated repository of research papers and blog posts focused on Long Context Language Modeling.
Static: The artifact is a curated list of papers and blogs (a repository of resources) rather than executable code.
The paper introduces the Transformer, a novel network architecture that replaces recurrent and convolutional layers with self-attention mechanisms.
Static: The artifact is a research paper/article and does not contain a runnable code repository.
A series of Chinese Large Language Models based on Meta's Llama-2, featuring an optimized Chinese vocabulary and support for long contexts (up to 64K).
The sandbox failed to install dependencies (torch==2.0.1) and the demonstration failed to import the required module.
An implementation of the Model Context Protocol (MCP) that enables AI models to perform complex reasoning using a Graph of Thoughts (GoT) framework.
The sandbox execution failed to run the demonstration (demo_exit: 1) and multiple tests failed (pytest_exit: 1), including file not found and assertion errors.
Graph-of-Thought (GoT) is a reasoning framework that models human thought processes as graphs rather than linear chains.
The installation failed (install_exit: 1) due to missing dependencies (ModuleNotFoundError: No module named 'pkg_resources') and the smoke test failed to import numpy.
DAG-Math is a framework for graph-of-thought guided mathematical reasoning in Large Language Models.
Static: The artifact is a research paper/project description with no executable code or build manifests provided in the sandbox.
A high-performance Model Context Protocol (MCP) server that implements a multi-stage scientific reasoning framework.
The sandbox execution failed with 24 errors during test collection and the demonstration failed due to a ModuleNotFoundError.
A project for fine-tuning Low-Rank Adaptation (LoRA) models on facial images using Stable Diffusion.
The dependency installation failed (install_exit: 137) and the demo failed to run due to missing modules.
A research experiment focused on fine-tuning Stable Diffusion v1.5 using LoRA to generate images of a specific person.
The sandbox failed to install dependencies (install_exit: 137) and the demonstration failed with a syntax error.
LIDA is a framework that performs facial age transformation using Stable Diffusion 1.5 by employing a dual-LoRA approach.
The sandbox failed to install dependencies (install_exit: 137) and the demo failed to run, indicating the environment or dependencies are not currently functional.
A ComfyUI-based workflow for performing realistic face swaps and maintaining character identity across generated images.
Static: The artifact is a collection of configuration files (workflow.json) and documentation for a ComfyUI workflow, not a standalone executable application.
This is a formal report detailing the progress of Web standards and innovation initiatives by the World Wide Web Consortium (W3C).
Static: The artifact is a report/document (not runnable code) and serves as a formal publication of web standards progress.
MAGIC is a self-supervised learning framework designed to detect Advanced Persistent Threats (APTs) by modeling system entities and behaviors as prove.
The sandbox failed to install dependencies (install_exit: 1) and the demonstration script failed to run (demo_exit: 1).
RE-GCN is a framework for Temporal Knowledge Graph (TKG) reasoning that learns evolutional representations.
Static: The repository contains a complete project structure with source code, requirements, and data files, following a standard research implementation pattern.
InfoGraph is a framework for unsupervised and semi-supervised graph-level representation learning.
Static: The repository contains a complete project structure with multiple sub-directories for unsupervised and semi-supervised tasks, indicating a complete implementation.
Trailmark is a tool that parses source code into a queryable graph representation of functions, classes, and calls.
The project has a clear structure, multiple language support, and a successful smoke test (demo_exit: 0), although some tests failed due to missing dependencies (hypothesis).
BeikeShop is an open-source e-commerce platform built on the Laravel framework.
The project has a comprehensive file structure, clear documentation, and successful dependency installation (npm_install_exit: 0), though the test script was missing.
A comprehensive ecosystem of 400+ plugins, 2,800+ skills, and 200+ agents designed specifically for Anthropic's Claude Code CLI.
The sandbox failed to install dependencies (npm_install_exit: 1) and could not find the pnpm package manager (npm_test_exit: 127).
A plugin marketplace and discovery platform for Claude Code that provides a library of AI agents, commands, and hooks.
The package installs successfully (npm_install_exit: 0) and includes a large collection of files, but the test suite failed due to an incompatible Node.js flag (npm_test_exit: 9).
A collection of over 100 agentic skills and 42 chained workflows designed to provide structured product management frameworks (e.g., discovery, strate.
Static: The artifact is a collection of prompt-based skills and configuration files (JSON/MD) for AI tools and is not a runnable software package.
A tool that transforms technical books, documentation, or research papers into structured 'Agent Skills' compatible with the Agent Skills standard.
The tool has a successful sandbox run with all dependencies installing correctly (install_exit: 0), all tests passing (pytest_exit: 0), and a successful demo execution (demo_exit: 0).
Open WebUI is a self-hosted, feature-rich AI platform that provides a user-friendly interface for interacting with Large Language Models (LLMs).
The sandbox failed to install (install_exit: 1) and the demo failed to run (demo_exit: 1) due to missing dependencies and module errors.
A toolkit for converting PDF and image-based documents into clean Markdown using Vision Language Models (VLMs).
The project includes a public API and official Docker support, but the test suite failed significantly during the sandbox run (14 errors).
This repository provides the implementation for the COMET model, which uses transformers to automatically construct knowledge graphs.
Static: The repository contains a complete project structure with source code, configuration files, data scripts, and clear instructions for training and evaluation.
AutoSchemaKG is a framework for autonomous knowledge graph (KG) construction that uses a two-stage approach: extracting triples from unstructured text.
The sandbox execution failed with multiple test errors (pytest_exit: 2) and a ModuleNotFoundError during the demonstration, indicating the environment is not fully functional.
A comprehensive RAG framework that integrates GraphRAG, LightRAG, and Neo4j-llm-graph-builder for advanced knowledge graph construction and retrieval.
The installation failed (install_exit: 137) and tests encountered ModuleNotFoundError, indicating the environment is not correctly set up.
DeepKE is an open-source toolkit for Knowledge Graph Construction that supports entity, relation, and attribute extraction.
The sandbox failed to install dependencies (specifically `torch` version constraints) and the demonstration import failed due to missing modules.
A local-first multi-agent memory Model Context Protocol (MCP) server that provides persistent storage for LLM agents.
The sandbox execution failed with multiple test errors (pytest_exit: 2) and the demonstration script failed to import the module.
A multi-agent system built on the Mastra framework that generates storyboards, scripts, and visual prompts from text descriptions.
The sandbox failed to install dependencies (npm_install_exit: 1) and could not run tests, indicating a broken or complex dependency tree.
DeepTrans Studio is an enterprise-grade translation and localization platform that combines a multi-agent AI workflow with a professional translation .
The sandbox failed to install dependencies (install_exit: 1) and the demonstration script failed to run, indicating the environment is not currently functional.
A collection of independently authored prompt templates for building AI coding agents.
Static: The artifact is a collection of markdown files and prompt templates, not a runnable software package.
A comprehensive library of 266 AI expert roles tailored for various industries including engineering, marketing, and finance.
The project contains a large, structured library of markdown files and scripts for multiple tools, though the automated test script failed due to a missing 'test' command in package.json.
Swarm is an educational framework for orchestrating multiple AI agents using a lightweight approach.
The dependencies installed successfully (install_exit: 0) and all tests passed (pytest_exit: 0), though the project is explicitly labeled as an experimental educational framework now superse
A multi-agent orchestration system designed for Claude Code that provides a team-based workflow.
The sandbox failed to install dependencies (npm_install_exit: 1) and tests could not run (npm_test_exit: 127).
A multi-harness marketplace providing modular building blocks (plugins, agents, skills, and commands) for AI agentic workflows.
The project contains a comprehensive set of plugins, agents, and a multi-harness configuration system with clear documentation and a structured file system, though the automated test suite f
Byaldi is a Python library that simplifies the use of late-interaction multi-modal models (like ColPali) for Retrieval-Augmented Generation (RAG).
The sandbox failed to install dependencies (ModuleNotFoundError: No module named 'colpali_engine') and the demonstration script failed due to missing dependencies (ModuleNotFoundError: No mo
VisRAG is a Vision Retrieval-Augmented Generation framework that enables Vision-Language Models (VLMs) to reason over multi-image queries by retrievin.
The installation failed due to a missing dependency (decord==0.6.0) and the demonstration script failed with a ModuleNotFoundError.
ApeRAG is a production-grade Retrieval-Augmented Generation (RAG) platform that combines Graph RAG, vector search, and full-text search.
The project has a comprehensive file structure, clear documentation, and a successful import demonstration (demo_exit: 0), although the test suite failed due to missing dependencies (e.g., '
fastRAG is a research framework designed for building and optimizing Retrieval-Augmented Generation (RAG) pipelines.
The project is archived and the sandbox failed to install dependencies (install_exit: 1) and run the demo due to missing dependencies.
A symbolic AI prompt framework designed for software development that uses mathematical operators and emojis to compress complex instructions into a s.
Static: The repository contains a complete set of markdown and mdc files, documentation, and a structured file system, indicating a mature and documented framework.
IKBT is a Python-based system that generates closed-form solutions for robot arm inverse kinematics (IK) using behavior trees for action selection.
Static: The project contains a comprehensive file structure including tests, multiple robot configurations, and documentation, but it is a symbolic solver library rather than a standard exec
A curated repository of research papers and resources focused on integrating symbolic logic with deep neural networks.
Static: The artifact is a curated list of papers and resources (a 'curated list' or 'awesome' repository) rather than a runnable software package.
Nucleoid is a declarative, logic-based runtime environment for Neuro-Symbolic AI.
The project has a comprehensive file structure, clear documentation, and successfully installed dependencies (npm_install_exit: 0), though tests failed due to a missing 'bun' runtime.
A project focused on creating a document notary system that is resistant to quantum computing attacks.
Static: The repository contains only a README and .gitignore file with no actual code implementation or project structure.
The repository appears to be a project named 'quantum-notary', but it contains no source code or documentation files..
Static: The repository contains no files other than a .gitignore and LICENSE, providing no functional code or documentation.
A proof-of-concept engineering architecture that acts as an 'Async Adapter' between quantum processors and blockchains.
Static: The project is described as a proof-of-concept and contains only notebooks and a README without a runnable software package or automated test suite.
A blockchain interoperability bridge simulation implementing a Notary Scheme protocol using post-quantum cryptography.
The build and test processes failed (build_exit: 1, test_exit: 1) due to missing local file paths for the cryptography helper.
Memgraph is a high-performance, in-memory graph database written in C++ that supports Cypher query language and ACID compliance.
The sandbox execution resulted in 67 errors during test collection and a failed demo exit (demo_exit: 1), indicating the environment could not successfully build or run the project.
FalkorDB is a high-performance graph database that uses sparse matrix representation and linear algebra for query execution.
The sandbox failed to build and test due to missing dependencies (build_exit: 101), and the project requires complex manual compilation steps.
A tool that transforms unstructured data (PDFs, documents, web pages, etc.) into structured Knowledge Graphs stored in Neo4j.
The project has a complete file structure including a backend (FastAPI), frontend (React/Vite), and Docker support; while the automated test script failed due to a missing 'test' command, th
A comprehensive guide and curriculum for developing AI Agents, focusing on practical skills and job readiness.
The sandbox failed to install dependencies (npm_install_exit: 1) and run tests (npm_test_exit: 127) due to network/permission errors.
A Python implementation of the Chain-of-Verification (CoV) technique using LangChain and OpenAI.
The project has a clear structure, includes a requirements file, and implements multiple chains for different question types, though the automated demo failed due to a missing 'app' module.
A command-line tool for signing and verifying Software Bills of Materials (SBOMs) using Dilithium5 post-quantum cryptography.
The project builds successfully (build_exit: 0) and the test suite executes with no failures (test_exit: 0), though it appears to have no test cases currently implemented.
A formal verification tool for smart contracts on EVM-based chains, Solana, and Stellar.
The project includes a complex build system (Gradle, Rust, and SMT solvers) that successfully compiled and passed tests in the sandbox (build_exit: 0, test_exit: 0).
This research provides the experimental sequence information for the mRNA components of the Moderna and Pfizer/BioNTech COVID-19 vaccines.
Static: The artifact is a research paper/note containing experimental data and sequence files rather than executable software.
A self-improvement plugin for Claude Code, Codex, and OpenCode that transforms user corrections into durable skills and project-specific rules.
The project has a complex structure with multiple language implementations (Node.js, Python, TypeScript) and a clear manifest, but the test script failed to run in the sandbox environment.
A self-learning system for Claude Code that captures user corrections and recurring workflow patterns.
Static: The project contains a complete file structure including tests, hooks, and command implementations, along with a multi-language support system and clear documentation.
A human parsing representation extractor that identifies and segments human body parts and clothing.
The sandbox failed to install dependencies (install_exit: 1) and the demo execution failed (demo_exit: 1).
A comprehensive AI coding workflow system that provides a persistent SQLite database for AI agents to store self-correcting memories and research wiki.
The sandbox run shows successful dependency installation (npm_install_exit: 0) and all tests passed (npm_test_exit: 0).
The Model Context Protocol (MCP) is an open standard for connecting AI models to data sources and tools.
Static: The repository contains the official specification, documentation, and JSON schemas for a protocol, rather than a runnable application or library.
A Go implementation of the Model Context Protocol (MCP) that allows developers to build servers exposing data and tools to LLMs.
The project has a complete file structure, multiple examples, and a clear Go implementation, though the build/test exit codes in the sandbox were non-zero.
A library that exposes FastAPI endpoints as Model Context Protocol (MCP) tools.
The project has a clear structure, comprehensive documentation, multiple examples, and a published PyPI package, though the sandbox demo timed out.
A Model Context Protocol (MCP) server that enables AI assistants to interact with the user's actual Chrome browser.
The sandbox failed to run tests (npm_test_exit: 1) and the project is explicitly described as being in its early stages under intensive development.
A tool for discovering implicit schemas from JSON documents and identifying composition links between multiple API schemas.
Static: The repository contains a complete set of projects including core implementation, coverage models, a web application, test suites, and example data, along with a documented multi-lan
Dataforged provides the official content and rules data for the Ironsworn: Starforged tabletop RPG in JSON format.
The project has a clear structure, includes a published NPM package, provides a TypeScript API, and includes pre-compiled JSON files for non-JS languages; however, the test script failed to
A collection of Elixir modules for data handling, providing data contracts, type-safe casting, and schema validation.
Static: The project has a complete structure with a library, test suite, and examples, following standard Elixir project conventions.
A framework for building OpenWrt firmware using GitHub Actions.
Static: The artifact is a collection of GitHub Actions workflow files and shell scripts, providing a configuration template rather than a runnable software application.
The artifact is a placeholder or reference to a non-existent or yet-to-be-published paper on arXiv.
The artifact contains no content or data to assess.
Plan-Seq-Learn is a framework for training Reinforcement Learning (RL) agents to solve long-horizon robotics tasks using Large Language Model (LLM) gu.
The installation failed (install_exit: 1) due to missing dependencies, and while the module imported in the demo, the core environment setup is incomplete.
The provided artifact is a placeholder or reference to a non-existent or inaccessible arXiv paper as the URL and title do not correspond to a publishe.
The artifact contains no content or valid reference to a paper.
JERP is a framework for LLM agents that simultaneously updates a long-term rule pool and the model's policy from interaction trajectories.
Static: The artifact is a research paper describing a methodology and experimental results, not a runnable software repository.
A theoretical framework for interpreting AI systems as agents by combining radical interpretation with mechanistic interpretability.
Static: The artifact is a research paper/book proposal providing theoretical frameworks and criteria, not a runnable software implementation.
The artifact is a placeholder or reference to a non-existent or yet-to-be-published paper on arXiv.
The artifact contains no content or data to assess.
The artifact is a placeholder or reference to a paper with the identifier 2606.25836.
The artifact contains no content or code to assess.
The artifact is a placeholder or reference to a non-existent or yet-to-be-published paper on arXiv.
The artifact contains no content or data to assess.
The provided artifact is a placeholder or reference to a non-existent or inaccessible arXiv paper.
No content or code was provided to assess.
The provided artifact is a placeholder or reference to a non-existent or inaccessible arXiv paper.
The artifact contains no content or valid reference to a research paper.
The artifact is a placeholder or reference to a non-existent or yet-to-be-published paper on arXiv.
The artifact contains no content or data to assess.
The provided artifact is a placeholder or reference to a non-existent or inaccessible paper on arXiv.
No content or code was provided for evaluation.
The artifact is a placeholder or reference to a paper with the identifier 2606.26902.
No content or code provided for assessment.
The provided artifact is an arXiv paper identifier and does not contain any associated content or research text..
No content or code provided to assess.
The artifact is a placeholder or reference to a paper with the identifier 2606.27161.
No content or code provided for assessment.
Agent Reach is a capability layer that provides AI agents with the ability to search and read content across multiple platforms (Twitter, Reddit, YouT.
The sandbox run shows successful dependency installation (install_exit: 0), all tests passed (pytest_exit: 0), and the demo successfully imported the package (demo_exit: 0).
A library providing long-horizon Task-and-Motion-Planning (TAMP) problems set in kitchen and household environments.
The sandbox failed to install dependencies (scipy), failed all tests, and the demo execution encountered errors.
The artifact is a placeholder or reference to a non-existent or not-yet-published arXiv paper.
The artifact is a placeholder for a non-existent or inaccessible paper.
The artifact is a placeholder or reference to a non-existent or yet-to-be-published arXiv paper.
The artifact is a placeholder for a non-existent or inaccessible paper.
Scrapling is an adaptive web scraping framework that provides tools for single requests and large-scale crawls.
The library successfully imports and exposes its public API, though the provided demo script failed due to a missing 'curl_cffi' dependency.
The paper introduces Transfer-Aware Curriculum (TAC), a bandit-style online curriculum for Reinforcement Learning with Verifiable Rewards (RLVR).
Static: The artifact is a research paper describing a new training methodology and algorithm, not a software implementation.
The provided artifact is a placeholder or reference to a non-existent or yet-to-be-published arXiv paper.
The artifact contains no content or code to evaluate.
ReflectVLM is a framework for multi-stage long-horizon robotic manipulation using Vision-Language Models (VLMs).
The sandbox failed to install dependencies (torch==2.0.1 not found) and the demo/smoke tests failed to run.
Plan4MC is a multi-task agent designed to solve long-horizon tasks in Minecraft by learning fine-grained basic skills via reinforcement learning.
The project failed to install dependencies (install_exit: 1) and the demo failed to run due to missing dependencies (demo_exit: 1).
The official TypeScript SDK for implementing the Model Context Protocol, which allows applications to provide context to LLMs in a standardized way.
The sandbox failed to install dependencies due to unsupported URL types (pnpm catalog issues) and the project is explicitly marked as a pre-alpha version (v2.0.0-alpha.0) in development.
An educational curriculum and repository for learning the Model Context Protocol (MCP).
Static: The repository is a curriculum and educational resource containing documentation, tutorials, and multi-language code examples rather than a single runnable software product.
The official Python SDK for the Model Context Protocol, which allows developers to build servers that expose data and tools to LLM applications.
The project has a comprehensive structure including tests, documentation, and a clear manifest, but the sandbox failed to install dependencies and run tests/demos.
A collection of reference implementations for the Model Context Protocol (MCP) that provide standardized ways for LLMs to access tools and data source.
The repository contains a comprehensive set of reference implementations across multiple languages and a clear project structure, though the automated test script failed due to a missing 'te
Stash is a persistent memory layer for AI agents that provides a long-term storage and retrieval system for facts, episodes, and context.
The sandbox run resulted in a build_exit: 1 and test_exit: 1, indicating the project failed to build or pass tests in the automated environment.
A comprehensive AI agent orchestration framework that provides a multi-phase development lifecycle (Research, Spec, Innovate, Plan, Validate, Execute,.
Static: The repository contains a high volume of files (308), including complex logic for agents, skills, and multi-phase workflows, with clear documentation and multiple language support.
GDA is a high-performance Android decompiler and reverse analysis platform written in C++.
Static: The artifact is a collection of files and documentation for a commercial/closed-source tool; it lacks a standard build manifest for execution in the sandbox.
A reproduction of the Wan-Streamer model, which is an end-to-end, full-duplex audio-video interaction foundation model.
The installation failed (install_exit: 137) and the tests failed to run due to missing dependencies (ModuleNotFoundError: No module named 'torch').
holaOS is a local-first AI agent platform designed for work productivity.
The sandbox failed to install dependencies due to 'EUNSUPPORTEDPROTOCOL' (workspace: error) and the test script was missing.
MiniRAG is a Retrieval-Augmented Generation (RAG) framework designed to enable Small Language Models (SLMs) to achieve high performance with low resou.
The sandbox failed to install dependencies (ModuleNotFoundError: No module named 'dotenv') and tests failed, and the demo_exit was non-zero.
KenLM is a high-performance language model inference library designed for speed and memory efficiency.
The dependencies installed successfully (install_exit: 0) and the quickstart demo successfully executed and produced output (demo_exit: 0), though no formal pytest suite was found.
Pix2Text is an open-source Python tool designed to convert images and PDF files into Markdown format.
The sandbox failed to install dependencies (install_exit: 124) and tests failed to run due to missing modules (pytest_exit: 2).
A comprehensive collection of hands-on examples and tutorials for using Microsoft's Phi family of Small Language Models (SLMs).
Static: The artifact is a collection of notebooks, documentation, and tutorials (indicated by high count of .ipynb and .md files) rather than a runnable software package.
A Model Context Protocol (MCP) server that provides tools for LLM agents to process long documents without exceeding context window limits.
The sandbox run failed with a ModuleNotFoundError (missing 'langchain') and a non-zero demo_exit code.
A collection of resources and notebooks related to the Google Gemini Long Context Window Kaggle competition.
Static: The artifact consists of a notebook and documentation rather than a runnable software package.
A framework for evaluating the long-context capabilities of Large Language Models (LLMs) by generating realistic test cases from user-provided data.
The project has a complete directory structure, clear documentation, and successfully installed dependencies (install_exit: 0), though no test suite or demonstration script successfully exec
A PyTorch and JAX implementation of a Transformer Attention variant designed for long-sequence modeling.
The installation failed (install_exit: 137) and the demonstration script failed due to missing dependencies and module import errors.
Corbell is an AI-powered tool that builds a living knowledge graph of multi-repo architectures by scanning code and design documents.
The package installs and imports successfully (demo_exit: 0), but several tests failed due to ModuleNotFoundErrors, indicating incomplete test environment configuration.
The repository appears to be related to GitHub internal infrastructure and documentation workflows, specifically involving CI/CD migrations and automa.
Static: The repository contains no runnable code or standard build manifests, showing only a collection of configuration files and GitHub Actions scripts.
A repository providing a pipeline and trained models for detecting hands in egocentric and other views using Single Shot Detector (SSD) and TensorFlow.
Static: The repository contains a complete project structure with model checkpoints, training scripts, and documentation, but it is identified as a 'static-only' artifact without a runnable
A comprehensive plugin suite and MCP (Model Context Protocol) server collection for Claude Code and OpenAI Codex CLI.
The sandbox failed to install dependencies (npm_install_exit: 1) and run tests (npm_test_exit: 1) due to node-gyp/better-sqlite3 build errors.
An AI-powered pipeline that converts resume PDFs into structured data, enriches them with GitHub repository signals, and generates objective scores.
The project has a complete file structure, clear documentation, and successfully installed dependencies (install_exit: 0), though it lacks a formal test suite.
A model-agnostic computer vision toolkit designed to simplify common tasks like loading datasets, drawing annotations, and counting detections.
The library successfully imports and exposes a comprehensive public API, and the project structure includes tests, documentation, and examples.
A command-line interface and set of skills designed to help developers build, evaluate, and deploy AI agents on the Gemini Enterprise Agent Platform.
The project has a clear structure, complete documentation, and successful dependency installation (install_exit: 0), though it lacks a formal test suite.
ADHD is a reasoning framework for AI agents that addresses premature convergence by spawning multiple isolated reasoning processes under different 'co.
The dependencies installed successfully (npm_install_exit: 0) and the project has a clear file structure with a public NPM package and multiple third-party integrations, though the specific
A Python implementation of the Tree of Thoughts framework that enables Large Language Models to solve complex problems by exploring multiple reasoning.
The project has a clear structure, package manifest, and successful execution of a Breadth-First Search (BFS) example, though the main example failed due to a missing dependency.
A framework for enabling Large Language Models (LLMs) to perform deliberate problem solving by exploring multiple reasoning paths.
The sandbox failed to install the package (install_exit: 2) and the demo/smoke tests failed due to missing modules, indicating the environment could not build the package.
Zed is a high-performance, multiplayer code editor built with Rust.
The build and test processes failed (build_exit: 101, test_exit: 101) due to Rust compiler version mismatches.
A suite of academic research workflows packaged as a Codex-native skill.
Static: The artifact is a collection of configuration files, prompts, and documentation for a skill framework rather than a standalone executable application.
PySpur is a visual playground and development framework for building and iterating on AI agentic workflows.
The project has a comprehensive file structure, clear documentation, and a multi-language README, though the automated test script failed due to a missing 'test' command in the package manif
Hive is a multi-agent execution harness designed for production AI workflows.
The sandbox failed to install dependencies (install_exit: 1) and the demonstration script failed to import the application module (demo_exit: 1).
A repository intended for a platform focused on helping AI coding agents solve complex problems in large codebases.
The sandbox failed to install dependencies (npm_install_exit: 1) due to unsupported workspace protocols, and the README states the code is deprecated.
A local-first knowledge graph that maps codebase structure using Tree-sitter to provide context-aware intelligence for AI coding tools.
The sandbox run shows a successful installation and test execution (pytest_exit: 0) and the demonstration successfully imported the package and its public API (demo_exit: 0).
GraphRAG is a retrieval-augmented generation (RAG) framework that uses knowledge graphs to enhance Large Language Model (LLM) reasoning over private d.
The sandbox execution resulted in 73 test errors and a failed demonstration (ModuleNotFoundError), indicating the codebase is not currently functional in the test environment.
LightRAG is a Retrieval-Augmented Generation (RAG) framework that combines graph-based and vector-based retrieval.
The project has a comprehensive structure including tests, Docker support, and multiple storage backends, though the demo script failed due to a missing file.
Graphify is an AI coding assistant skill that converts folders of code, documents, SQL schemas, and media into a queryable knowledge graph.
The sandbox execution failed to install/run (ModuleNotFoundError) and the test suite had 28 failures, indicating the package is not currently stable.
An AI-powered email management tool that automates reading, sentiment analysis, and response generation using Groq and Llama models.
The project is in a prototype state as it lacks a test suite, and the smoke test failed with a ModuleNotFoundError because the required configuration file was not provided.
A predictive memory layer for AI agents that combines a multi-tier storage approach using MongoDB (documents), Qdrant (vector embeddings), and Neo4j (.
The sandbox failed to install dependencies and run the main entry point (ModuleNotFoundError: No module named 'fastapi'), and the demo scripts failed due to missing dependencies.
Ratel is an in-process context engineering platform for AI agents that manages tool selection, skills, and memory.
The project has a comprehensive multi-language structure (Rust, TypeScript, Python) with clear documentation, multiple SDKs, and a dedicated benchmark suite, though the test command failed d
A Retrieval-Augmented Generation (RAG) tool that indexes PDF documents into a local FAISS vector database using OpenAI embeddings.
The dependencies installed successfully (install_exit: 0) and the project structure contains a complete implementation of both the indexer and chatbot components.
SWE-AF is an autonomous software engineering fleet that uses a multi-agent system to plan, code, test, and ship production-grade software.
The project has a clear structure, comprehensive documentation, and a successful import demonstration (demo_exit: 0), although some integration tests failed.
A comprehensive educational repository and documentation suite for Java backend development and interview preparation.
Static: The repository contains a massive amount of structured documentation (over 400 markdown files) and a clear project structure, though the automated test script failed due to a missing
A collection of instruction sets, scripts, and resources that Claude loads dynamically to perform specialized tasks.
Static: The repository consists of a collection of instruction sets, specifications, and templates rather than a runnable software application.
ECC is a comprehensive framework and 'operator system' designed to optimize AI agent performance across multiple platforms like Claude Code, Cursor, a.
The sandbox execution failed with a `ModuleNotFoundError` for 'yaml' and a `demo_exit: 1` error, indicating the environment could not successfully run the code or its demonstration.
A software development methodology and agentic skills framework that provides coding agents with a structured workflow.
The repository contains a comprehensive set of plugins, documentation, and multi-harness support for multiple AI tools, and the node dependencies installed successfully.
An event-driven framework for building multi-agent AI systems where specialized agents collaborate on complex tasks.
The sandbox failed to execute (ImportError for pytest_asyncio, ModuleNotFoundError for core components), and the demo_exit results were non-zero.
ROMA is a meta-agent framework designed to build hierarchical multi-agent systems for complex problem-solving.
The project has a comprehensive file structure, includes a Dockerfile and tests, and successfully imported the core library with a demo_exit: 0, though pytest_exit: 2 indicates some test fai
DevOpsGPT is a multi-agent system designed to automate software development by converting natural language requirements into functional code.
The project includes a complete structure with a Dockerfile, frontend/backend directories, and clear configuration templates, though the smoke test/demo failed to import 'app'.
Edict is a multi-agent orchestration system that implements a hierarchical 'Three Provinces and Six Ministries' structure for AI task execution.
The sandbox run shows multiple test failures (pytest_exit: 1) and the demo execution failed with a ModuleNotFoundError.
The artifact is an article discussing the challenges of managing and utilizing research outputs.
Static: The artifact is an article/article-style text and not a software implementation.
CUPP is a password profiling tool designed to generate targeted wordlists for brute-force attacks.
Static: The project has a clear structure, includes a configuration file, a main script (cupp.py), and a test file, indicating a complete and documented implementation.
A comprehensive Python SDK for LLM and Agentic AI observability, monitoring, and evaluation.
The sandbox execution failed with a `ModuleNotFoundError` for 'langchain.callbacks', indicating missing dependencies or environment issues, and the demo_exit returned a non-zero status.
A comprehensive collection of skills and patterns for managing LLM context windows and multi-agent architectures.
Static: The repository contains a comprehensive set of structured skills, documentation, and examples across multiple categories (Foundational, Architectural, Operational, and Cognitive), th
A comprehensive collection of over 50 tutorials and implementations for Generative AI agents, ranging from basic chatbots to complex multi-agent syste.
The repository contains a large number of notebooks and files (52 .ipynb files) and a clear structure, but the demo failed to run due to a missing 'app' module.
Ruflo is an agentic meta-harness designed to orchestrate multi-player AI swarms and autonomous workflows.
The sandbox run resulted in a non-zero exit code (npm_test_exit: 1) with 86 failed tests and multiple build errors.
RODE is a multi-agent reinforcement learning (MARL) framework that decomposes complex tasks into roles by analyzing joint action space effects.
The installation failed with a RuntimeError during dependency setup (install_exit: 1) and the demo failed to execute.
A multi-agent orchestration framework for Claude Code that decomposes complex tasks into dependency-aware graphs.
The sandbox run shows successful dependency installation (install_exit: 0) and all tests passed (pytest_exit: 0), and the demo successfully imported the package.
A hierarchical multi-agent framework and self-evolution protocol for LLM-based systems.
The sandbox results show multiple `ModuleNotFoundError` and `demo_exit: 1` for all provided example scripts, indicating a failed installation or environment setup.
A TypeScript-native multi-agent orchestration framework that uses a coordinator agent to decompose high-level goals into dynamic task Directed Acyclic.
The sandbox run shows successful installation (npm_install_exit: 0) and a high volume of passing tests (1066 passed).
CrewAI is a multi-agent orchestration framework that enables the creation of role-playing, autonomous AI agents.
The project has a complete structure with a clear manifest and dependencies installed successfully (install_exit: 0), though the provided demo failed due to missing module imports.
A comprehensive AI agent harness designed for complex codebases, featuring multi-model orchestration and parallel background agents.
The sandbox failed to install dependencies due to 'workspace:' protocol errors and failed to run tests as 'bun' was not found.
Dify is an open-source LLM application development platform that provides an intuitive interface for building AI workflows, RAG pipelines, and agentic.
The sandbox failed to install dependencies (npm_install_exit: 1) and execute tests (npm_test_exit: 1) due to unsupported protocol errors.
Lada is a video restoration tool designed to recover pixelated or mosaic regions in adult videos.
The project has a complete structure with a clear manifest, multiple distribution methods (Flatpak, Docker), and a successful Python import demonstration, though the installation failed in t
Crawl4AI is an open-source web crawler and scraper designed to convert web content into LLM-friendly Markdown.
The sandbox run failed to execute (demo_exit: 1) and encountered a Traceback during the browser launch process, indicating issues with the environment or dependencies.
A multi-agent LLM framework that simulates the operations of a professional trading firm by assigning specialized roles (e.g., Fundamental Analyst, Se.
The project has a comprehensive file structure, clear dependencies, and a successful import test, though the demo failed due to missing API keys.
TimesFM is a decoder-only foundation model designed for time-series forecasting.
The library successfully imports and exposes its public API, and the project includes a comprehensive structure with unit tests and fine-tuning examples, though the sandbox tests failed due
VulnClaw is an AI-driven penetration testing CLI and Web UI tool that automates the full security lifecycle: information gathering, vulnerability disc.
The project has a clear structure, multiple LLM provider support, and a public PyPI package, but the sandbox test suite failed (pytest_exit: 124).
The paper introduces TSJ (Theater-Stage-Judge), a longitudinal framework designed to evaluate the long-term risks of AI companions on human cognitive .
Static: The artifact is a research paper/article providing a methodology and evaluation framework rather than a runnable software implementation.
Maigret is an OSINT (Open Source Intelligence) tool that collects dossiers on individuals by searching for a specific username across over 3,000 websi.
The tool successfully imports and provides a public API (demo_exit: 0), though it has multiple test failures (pytest_exit: 1).
The paper presents a rigorous benchmark for spacecraft fault-tolerant control (FTC) using a 'settled gate' metric, which requires maintaining pointing.
The artifact is a research paper (arXiv) providing a benchmark and analysis, not a software implementation.
The paper identifies 'cliff tokens' as the specific points in a reasoning chain where a model's probability of success drops significantly.
Static: The artifact is a research paper (arXiv) providing a theoretical framework and experimental results, not a software implementation.
A reference Streamlit application designed to demonstrate basic functionality and deployment on share.streamlit.io.
The dependencies installed successfully (install_exit: 0) and the application structure is complete, though no formal test suite was provided.
Sherlock is an OSINT tool designed to find social media accounts and online footprints by searching for a specific username across various websites.
The project has a complete structure, multiple files, and a clear manifest, but the sandbox test execution failed due to missing dependencies (jsonschema, rstr).
An AI-powered bug bounty hunting toolkit that automates reconnaissance, vulnerability scanning, and report generation.
The project has a complex file structure and successfully installed dependencies (install_exit: 0), but several tests failed during the sandbox run.
A full-stack low-code web framework built with Python and JavaScript, designed for real-world applications.
The project has a comprehensive file structure, clear documentation, and a mature ecosystem, but the sandbox encountered a Python version mismatch and had no pytest suite found.
A tool that enables AI agents (like Claude Code) to edit videos by reading audio transcripts and visual composites rather than processing raw video fr.
The project has a clear structure, dependency manifest, and installation instructions, but the sandbox shows no pytest suite or execution results.
Strix is an autonomous AI security platform that employs multi-agent systems to perform dynamic application security testing.
The project has a clear structure, multiple files, and a published PyPI package, but the sandbox run shows multiple failed tests (10 failures) despite a successful exit code.
Vibe-Trading is a natural-language finance research AI agent that enables users to perform quantitative trading tasks and backtesting.
The project has a successful dependency installation (install_exit: 0) and a comprehensive file structure with multiple languages and documentation, though no formal pytest suite was detecte
Wan-Streamer is a unified multimodal model that processes and generates audio, video, and text within a single Transformer architecture.
Static: The artifact is a research paper and academic publication describing a new model architecture and methodology.
MinerU is a document parsing tool designed to convert complex files (PDF, Word, Excel, PowerPoint) into LLM-ready Markdown and JSON formats.
The project has a clear structure, a published PyPI manifest, and successful dependency installation (install_exit: 0), though the test runner encountered an argument error.
CuPy is a NumPy and SciPy compatible array library for GPU-accelerated computing with Python.
The project is a mature, production-stable library with extensive documentation and multiple distribution channels (PyPI, Conda), though the sandbox test runner failed due to missing depende
LingBot-Map is a feed-forward 3D foundation model designed for real-time streaming 3D reconstruction.
The project has a complete file structure, clear installation instructions, and successfully installed dependencies (install_exit: 0), though it lacks a formal test suite.
Wan Streamer is an end-to-end foundation model designed for real-time, full-duplex audio-visual interaction.
Static: The artifact is a research paper and project overview for a new model architecture, providing conceptual and performance data rather than a runnable software package.
A comprehensive, visual guide for mastering Claude Code, a command-line AI tool.
The project contains a comprehensive set of documentation, tutorials, and configuration files, but the sandbox test results (92 passed) refer to an EPUB builder, which appears to be a separa
Cognee is an open-source AI memory platform that provides long-term memory for AI agents by building a self-hosted knowledge graph.
The project has a clear structure, multiple client implementations (Rust, TypeScript), a Dockerfile, and successful dependency installation (install_exit: 0), though no pytest suite was dete
A multi-platform social media data collection tool that supports scraping content from platforms like Xiaohongshu, Douyin, Kuaishou, Bilibili, Weibo, .
The project has a comprehensive structure, multiple platform support, and a WebUI, but several tests (e.g., Redis and Proxy Pool) failed during execution.
Live multi-agent status dashboard; tracks workflows like 'research & test AI agent coordination patterns' across the agent fleet..
Static: owner's Notion note (not runnable code).
An RL-driven agent with Apple 'Liquid Glass' UI expertise that builds Apple apps for free — agentic code generation applied to native app development..
Static: owner's Notion note (not runnable code).
A self-building multi-agent system (NewsyBot and others) that stands up its own agents for AI news research and analysis..
Static: owner's Notion note (not runnable code).
Mission to integrate WhatsApp via the Model Context Protocol (MCP); an Alpha researcher agent does MCP protocol research and wiring..
Static: owner's Notion note (not runnable code).
Full guide for the Alpha multi-agent system; agents research AI news with Google ADK compliance, structured research steps, and coordinated workflows..
Static: owner's Notion note (not runnable code).
Implementation guide for nano-service workflows: tiny single-purpose files designed to be perfect for AI agents and small LLMs to generate, execute, a.
Static: owner's Notion note (not runnable code).
A meta-agent ORCHESTRATOR ('Mother') that registers/monitors all agents, auto-detects nano-service failures in real time, and SELF-HEALS by having a s.
Static: owner's Notion note (not runnable code).
Headroom is a context compression layer for AI agents that reduces token usage by compressing tool outputs, logs, and RAG chunks before they reach the.
The project has a comprehensive structure with multiple languages (Python, TypeScript, Rust), documentation, and a clear manifest, but the sandbox test suite encountered 371 errors.
The paper identifies 'premature commitment' as a failure mode where LLM agents settle on a specific interpretation of evidence early in a task and fai.
Static: The artifact is a research paper/article providing a theoretical framework and diagnostic method, not a runnable software implementation.
HOLMES is a benchmark designed to evaluate higher-order symbolic reasoning in Large Language Models, moving beyond simple object-level deduction.
Static: The artifact is a research paper and dataset description without executable code in the provided context.
The paper investigates whether coherent preference structures in LLMs (revealed via choice paradigms) translate into actual behavioral incentives.
Static: The artifact is a research paper/article and does not contain runnable code.
The paper analyzes the difference between human and Large Reasoning Model (LRM) deliberation patterns.
Static: The artifact is a research paper/article and does not contain runnable code.
SP-Mind is an autonomous AI agent designed to automate the end-to-end pipeline of spatial proteomics analysis.
Static: The artifact is a research paper describing a framework and benchmark, not a runnable software repository.
The paper presents a comprehensive data curation pipeline for training general-purpose agentic language models.
Static: The artifact is a research paper describing a methodology and experimental results, not a runnable software repository.
VeriEvol is a framework for scaling reinforcement learning in visual math reasoning by treating data construction as a verifiable process.
Static: The artifact is a research paper describing a methodology and experimental results, not a runnable software repository.
The paper introduces a security architecture for AI agents that moves safety controls outside the agent's own runtime environment.
Static: The artifact is a research paper describing a theoretical framework and a Rust reference implementation, not a runnable software package.
The research proposes a method to detect and mitigate ill-posed questions (ambiguous or contradictory queries) by analyzing the topology of LLM intern.
The artifact is a research paper describing a theoretical framework and experimental results, not a runnable software implementation.
The paper frames scientific discovery as a meta-optimization problem where both the search space and the evaluation criteria (objectives) are optimize.
Static: The artifact is a research paper/article describing a theoretical framework and experimental results, not a runnable software implementation.
The paper introduces AgentCIBench, a framework designed to evaluate the privacy risks of Computer-Use Agents (CUAs) that access multiple personal appl.
Static: The artifact is a research paper/article providing a conceptual framework and evaluation methodology rather than a runnable software implementation.
EHR-Complex is a large-scale benchmark designed to evaluate the ability of AI agents to perform complex clinical reasoning using Electronic Health Rec.
Static: The artifact is a research paper/article providing a benchmark and evaluation results, not a runnable software implementation.
The paper investigates how long-horizon LLM agents handle plan persistence when context windows are compressed or managed.
Static: The artifact is a research paper/article providing a theoretical framework and diagnostic methodology rather than a runnable software implementation.
Autodata is a framework that enables AI agents to act as data scientists to generate high-quality synthetic training and evaluation data.
Static: The artifact is a research paper describing a methodology and experimental results, not a runnable software implementation.
The paper investigates whether increasing model size can mitigate plasticity loss—the inability to learn new information without forgetting old inform.
Static: The artifact is a research paper/article and does not contain runnable code.
The paper presents a reinforcement learning framework for training Computer-Use Agents (CUAs) to perform tasks in graphical user interfaces.
Static: The artifact is a research paper describing a methodology and experimental results, not a runnable software implementation.
DART is a training-free routing framework for hybrid reasoning models that dynamically allocates 'thinking' budgets.
Static: The artifact is a research paper describing a theoretical framework and experimental results, not a runnable software implementation.
The paper introduces a test-time scaling law for physical AI agents based on active inference principles.
Static: The artifact is a research paper (arXiv) providing a theoretical framework and simulation results, not a runnable software implementation.
The paper proposes a method to detect misaligned behaviors in LLMs by identifying fine-grained 'misalignment indicators' within internal activations.
Static: The artifact is a research paper/article and does not contain a runnable code repository.
The paper introduces the 'Capability Frontier' to measure the maximum achievable performance of LLMs by considering optimal model selection and multip.
Static: The artifact is a research paper/article and does not contain runnable code.
SPADE is a framework for scientific machine learning that adaptively decides how to incorporate physical structure priors (like conservation laws) int.
Static: The artifact is a research paper/article describing a theoretical framework and mathematical results, not a software implementation.
The paper investigates how low-bit post-training quantization (INT4/INT3) affects the reasoning capabilities of LLMs.
The artifact is a research paper/article providing theoretical analysis and experimental results rather than a runnable software implementation.
SPIRAL is a reinforcement learning framework that optimizes language models to utilize a three-part inference pipeline: parallel trace generation, seq.
Static: The artifact is a research paper describing a new training framework and methodology, not a runnable software implementation.
The paper analyzes the performance limits of multi-model systems (routing, voting, mixtures of agents) by identifying a 'co-failure' ceiling.
Reference: The artifact is a research paper/article providing theoretical analysis and empirical results, not a software implementation.
The paper introduces a framework to solve inverse problems in chaotic systems by learning bidirectional mappings between initial and final state distr.
Static: The artifact is a research paper/article describing a theoretical framework and experimental results, not a runnable software repository.
The paper investigates whether Large Language Models (LLMs) develop abstract internal representations similar to the human hippocampus for reasoning.
Static: The artifact is a research paper/article providing theoretical and experimental findings rather than a runnable software implementation.
The paper presents a multi-agent discovery engine that uses an Evolutionary Knowledge Graph to architect hardware-compliant computing systems.
Static: The artifact is a research paper describing a methodology and experimental results, not a runnable software implementation.
The paper introduces AHOIS, a multi-agent AI framework that uses 'Socratic midwifery' to enable autonomous scientific discovery.
The artifact is a research paper/article describing a theoretical framework and experimental results, not a runnable software repository.
GIF is a semantic framework for tracking information flow from input tokens to outputs in Large Language Models (LLMs).
Static: The artifact is a research paper describing a theoretical framework and mathematical proofs, not a runnable software implementation.
RaDaR is a 32B parameter compact reasoning large language model specifically designed to accelerate the diagnosis of rare diseases.
Static: The artifact is a research paper describing a model and framework, not a runnable software repository.
PPT Master is a tool that generates natively editable PowerPoint presentations from documents.
The project has a complete file structure, multiple examples, and a successful dependency installation (install_exit: 0), though no formal pytest suite was detected.
An open-source operating system for robotics that provides an advanced driver assistance system (ADAS).
The project has a complete file structure, clear documentation, and successful dependency installation (install_exit: 0), though it lacks a standard pytest suite in the sandbox.
A value investing research framework that translates the methodologies of masters like Warren Buffett and Charlie Munger into a multi-agent AI system.
Static: The artifact is a collection of prompts, skills, and documentation (primarily Markdown files) for use with Claude Code, rather than a runnable software application.
The paper analyzes token consumption patterns in Multi-Agent (LLM-MA) systems during the Software Development Life Cycle (SDLC).
No sandbox run evidence is provided for this artifact.
A library of practical AI-agent loops and an installable skill for designing and auditing repeatable agent workflows.
The project includes a functional test suite that passed (npm_test_exit: 0) and a clear structure for both a website and an installable skill.
Palmier Pro is a native macOS video editor designed for AI-integrated workflows.
The project includes a structured codebase with a package manifest and multiple language translations, though the specific test script was missing in the monorepo's npm test command.
Unlimited-OCR is a high-performance OCR and document parsing model designed for long-horizon document understanding.
Static: The repository contains a complete implementation with clear inference scripts, model weights on Hugging Face, and detailed deployment instructions for both Transformers and SGLang.
DeerFlow is an open-source super agent harness designed to orchestrate sub-agents, memory, and sandboxes for long-horizon tasks.
The project has a comprehensive file structure, multi-language support, and a sophisticated build system (Makefiles) with a setup wizard, but the sandbox run showed no successful test execut
gstack is a suite of 23 opinionated tools and skills designed to transform Claude Code into a virtual engineering team.
The project has a complex file structure with 643 markdown files, a clear package manifest, and a successful dependency installation (npm_install_exit: 0), though the test runner failed due
A high-performance Model Context Protocol (MCP) server that indexes codebases into a persistent knowledge graph using Tree-Sitter AST analysis.
The project includes a complete implementation with a build_exit: 0 and test_exit: 0, and provides a single static binary for multiple platforms.
A PowerShell-based automation pipeline designed to extract code logic and documentation from GitHub repositories and convert them into structured Mark.
Static: The artifact is a collection of PowerShell scripts and documentation for a workflow rather than a runnable software package with a standard build manifest.
A modular prompt engineering framework for AI image generation and editing.
Static: The artifact is a collection of Markdown files containing prompt templates and linguistic structures, not executable code.
A comprehensive roadmap and manifesto defining the skills and responsibilities of a 'Distinguished Engineer' role focused on Full-Stack AI Integration.
Static: The artifact is a collection of documentation, roadmaps, and conceptual frameworks rather than executable code.
A tool that automates the creation of subtitle tracks for ScreenFlow documents by transcribing audio and injecting timed text clips directly into the .
Static: The project contains a complete implementation including a script for transcription, chunking, and binary injection, along with detailed format documentation and a clear command-line
Chrome Extension for capturing screenshots of DOM elements or the viewport in both dark and light mode.
An asynchronous ETL pipeline for n8n that extracts and filters remote job postings.
Static: The artifact is a n8n workflow JSON file, which is a configuration export rather than runnable code.
An open-source studio for generating AI images and videos using over 200 models including Flux, Kling, and Sora.
The sandbox run encountered a critical 'ENOENT' error because it could not find the package.json file for a specific directory, indicating a broken or incomplete repository structure.
HelixDB is an OLTP graph-vector database built in Rust designed for knowledge graphs and AI memory.
The sandbox run failed to complete because the environment's rustc version (1.85.0) was incompatible with the project's dependencies (requiring 1.87).
The paper introduces ComPilot, a framework where Large Language Models (LLMs) act as agents to optimize complex loop nests.
No sandbox run evidence is provided for evaluation.
A full-featured web template that integrates Sanity Studio v3 with a React Router 7 application.
The dependencies installed successfully (npm_install_exit: 0), but the project lacks a 'test' script, preventing automated test verification.
A Sanity Studio plugin that allows users to import and manage YouTube videos as documents directly within the Sanity CMS.
The sandbox run failed to install dependencies due to a dependency conflict (npm ERR! Fix the upstream dependency conflict).
A palette generator and API for Tailwind CSS that creates 11-color palettes (stops 50-950) based on a single hex value.
The sandbox run encountered a Startup Error during the build/import process, and the environment used a Node.js version lower than the required version.
A full-stack application that predicts Formula 1 race winners by combining traditional machine learning with sentiment analysis of team radio communic.
The project successfully installed dependencies (npm_install_exit: 0), but the test script was missing and failed to run.
SkillSpector is a security scanner designed to identify vulnerabilities and malicious patterns in AI agent skills.
Dependencies installed successfully (install_exit: 0), but tests encountered an AssertionError.
A comprehensive library of 817 structured cybersecurity skills designed for AI agents.
The sandbox run shows a successful file structure with 817 skill files and a JSON index, but no test execution results are provided.
A collection of AI agent 'skills' designed to improve the quality of software engineering tasks performed by LLMs.
The dependencies installed successfully (npm_install_exit: 0), but the test script was missing and failed to run.
Voicebox is a local-first AI voice studio that provides a complete voice I/O stack, including text-to-speech (TTS) and speech-to-text (STT) capabiliti.
The sandbox run failed to install dependencies due to a 'No space left on device' error, and no tests or entrypoints were successfully executed.
HyperFrames is an open-source framework that converts HTML, CSS, and media into deterministic MP4 videos.
The sandbox run failed with an 'EUNSUPPORTEDPROTOCOL' error during npm installation, indicating the environment could not successfully install the dependencies.
OpenMontage is an open-source agentic video production system that transforms AI coding assistants into full video studios.
Dependencies installed successfully (install_exit: 0) and multiple pipeline stages passed, but some QA tests failed with FileNotFoundError.
A Rust library providing convenient methods for encoding and decoding numbers in big-endian and little-endian formats.
The sandbox run shows a successful build (build_exit: 0) and all tests passed (test_exit: 0) with 122 tests passing.
A Go package for generating and inspecting Universally Unique Identifiers (UUIDs) compliant with RFC 9562 and DCE 1.1.
The sandbox run shows a successful build (build_exit: 0) and all tests passed (test_exit: 0).