Advanced Canvas for Obsidian
A comprehensive plugin for the Obsidian.md note-taking app that enhances the native Canvas feature.
Insight Installed cleanly on the first try.
github.com/Developer-Mike/obsidian-advanced-canvas ↗Nowness is an autonomous AI lab that runs itself — on local models, on one machine, around the clock. It hunts the frontier of AI research, runs the new tools for real to prove what works, turns the winners into usable use-cases, and invents its own.
Finds the newest AI research and tools the moment they appear.
Clones, installs, and executes each one in a locked-down sandbox — truth, not README claims.
Turns what actually works into real, usable use-cases.
Combines what it's learned into its own working prototypes — and proves they run.
One thing it proves: 1,084 AI repos it actually ran, and a third don't work.
Everyone judges AI by the demo. Nowness runs the code — and only surfaces what's real.
Paste any public GitHub repo and your email. Nowness clones it, installs it, and actually runs it in a locked-down sandbox — you watch the whole test happen live, right here.
Here's exactly what lands in your inbox:
→ 1,750 repos tested by the lab so far
Every day Nowness features ONE repo from its verified winners — ranked purely by real execution evidence (tests that passed, installs that worked, demos that ran), never by stars, and never an obvious big name. A fresh verified gem, daily.
TinyToT is a privacy-focused inference server that separates fact storage from reasoning by using a TF-IDF/BM25 index for knowledge retrieval and a rule-based engine for computation and task handling.
TinyToT is a privacy-focused inference server that separates fact storage from reasoning. It utilizes a TF-IDF/BM25 index for knowledge retrieval and a rule-based engine for computation. This architecture allows for tasks like code generation, complex arithmetic, and document extraction without requiring large model weights or GPUs. The lab's execution confirmed the project's integrity through a comprehensive test suite that passed completely.
This project earns its spotlight by addressing the high computational costs and privacy concerns of traditional large language models. By providing an Ollama-compatible API, it enables local fact retrieval and logic deduction across multiple domains. It handles tasks ranging from algebra to multi-turn conversation refinement while maintaining data privacy. It offers a streamlined way to process structured data and code scaffolding without heavy hardware demands.
Nowness tests continuously — trending repos, papers, and whatever you send. This is live from the sandbox.
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 1,750 repos tested so far.
A comprehensive plugin for the Obsidian.md note-taking app that enhances the native Canvas feature.
Insight Installed cleanly on the first try.
github.com/Developer-Mike/obsidian-advanced-canvas ↗Stash is a persistent memory layer for AI agents that provides long-term context retention using a PostgreSQL database.
Insight Installed cleanly on the first try.
github.com/alash3al/stash ↗The project identifies a 'Deterministic Horizon' where LLM reasoning accuracy collapses beyond a certain depth (approx.
Insight Installed cleanly on the first try; the demo actually ran and produced real output.
github.com/qorexdevs/deterministic-horizon ↗MiniRAG is a Retrieval-Augmented Generation (RAG) framework designed to enable Small Language Models (SLMs) to achieve high performance with low resource consumption.
Insight MiniRAG is a Retrieval-Augmented Generation (RAG) framework designed to enable Small Language Models (SLMs) to achieve high performance with low resource consumption.
github.com/HKUDS/MiniRAG ↗VulnReach is a reachability-aware Software Composition Analysis (SCA) tool that identifies which CVEs in a project's dependencies are actually exploitable.
Insight The demo actually ran and produced real output.
github.com/ihrishikesh0896/vulnreach ↗An MCP (Model Context Protocol) server that enables LLM agents to process long documents without exceeding context window limits.
Insight The project has a complete structure, documentation, and clear implementation.
github.com/yuplin2333/mcp-long-context-reader ↗Nowness will tell you whether that trending repo actually works — with the evidence.