Every card below was actually executed by the lab — under-the-radar repos that installed clean and did what they claim, verified in the sandbox, not guessed from the README. From 1,530 repos tested so far.
LLM-to-Symbolic Planner
A framework that combines Large Language Models (LLMs) with symbolic reasoning to define and monitor complex robot activities.
Insight The project contains a complete implementation with multiple modules (process extraction, planning, and simulation), clear documentation, and multiple sub-modules.
github.com/Fra-Tsuna/llm-to-symbolic-planner ↗
Symbolic Planner
A symbolic task planning framework for robotic and autonomous systems that reasons about high-level logical states and action sequences.
Insight The project includes a complete C++ implementation with a build system that successfully compiled and a comprehensive suite of environment files and visualization scripts.
github.com/Elonian/Symbolic-Planner ↗
SiT: Self-supervised Vision Transformer
SiT is a self-supervised vision transformer framework that provides official PyTorch implementations for pre-training and fine-tuning.
Insight SiT is a self-supervised vision transformer framework that provides official PyTorch implementations for pre-training and fine-tuning.
github.com/Sara-Ahmed/SiT ↗
Athena Multi-Agent Orchestration System
Athena is a multi-agent system that simulates a real IT company structure (PM, Developer, Tester, Reviewer) to execute complex tasks.
Insight Installed cleanly on the first try.
github.com/KSroido/athena ↗
Agent Blackboard
A multi-agent coordination system for software engineering that uses the Blackboard Pattern to allow specialized AI agents to collaborate.
Insight The project is structurally complete with a clear file organization, documentation, and a successful.
github.com/claudioed/agent-blackboard ↗
SwarmPentest
SwarmPentest is a multi-agent penetration testing framework that uses a blackboard system for collaborative intelligence and a 'Brain' agent for LLM-driven task orchestra.
Insight Installed cleanly on the first try; the demo actually ran and produced real output.
github.com/firstsnowcg/SwarmPentest ↗