AI Repos Worth Watching
GitHub's trending AI repos ranked and scored. Updated daily.
Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
Your Personal AI super intelligence. Private, Simple and extremely powerful.
Learn it. Build it. Ship it for others.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more
A skill file for removing AI tells from prose
#1 Persistent memory for AI coding agents based on real-world benchmarks
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
"ViMax: Agentic Video Generation (Director, Screenwriter, Producer, and Video Generator All-in-One)"
Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork
Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop
TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.
Skills for Real Engineers. Straight from my .claude directory.
🤖 Enhance AI collaboration with these five reusable skills, fostering effective teamwork in software development while minimizing process overhead.
This GitHub repo offers five reusable AI agent skills designed to enhance collaboration and efficiency in software development by reducing process overhead.
📄 Enhance document processing by implementing Recursive Language Models with Claude Code to exceed typical context limits and manage larger inputs effectively.
A Python implementation of Recursive Language Models using Claude Code aimed at surpassing standard context limits for enhanced document processing.
Semantic code intelligence for AI coding agents - 45% fewer tool calls, 17% faster exploration, 100% local. A fork of codegraph.
Cartograph is a fork of codegraph providing semantic code intelligence for AI coding agents that reduces tool calls by 45% and improves exploration speed by 17%, operating fully locally.
🛒 Connect AI agents to Walmart's ecosystem using the Model Context Protocol for real-time data access and enhanced product search capabilities.
An open-source project enables AI agents to connect to Walmart's ecosystem via the Model Context Protocol, providing real-time data access and improved product search.
📝 Fetch Twitter/X content and convert it into blog posts using the MCP server for seamless integration and easy content management.
A TypeScript tool that uses an AI-powered MCP server to fetch Twitter/X content and convert it into blog posts for easy content management integration.
Enable AI agents to access Tor and .onion sites with a simple Python layer supporting built-in search engines and OSINT tools.
A Python framework called Sicry enables AI agents to access Tor and .onion sites, integrating search engines and OSINT tools for enhanced intelligence gathering.
Pragmatic AI Labs MCP Agent Toolkit - An MCP Server designed to make code with agents more deterministic
The paiml-mcp-agent-toolkit is an MCP server built to improve determinism in code using AI agents.
Transform probabilistic LLMs into deterministic state machines to improve logic, prevent context loss, and generate unique, reliable responses.
The re-think_protocol project proposes transforming probabilistic large language models into deterministic state machines to enhance logical consistency, prevent context loss, and produce unique, reliable responses.
Open-source AI agent operating system: one file-native brain (190+ skills, 180+ specialist agents) run across many sealed client arms, with per-client token attribution and opt-in budget caps. Organic, portable, MIT.
Open-source AI agent operating system provides a single-file brain managing 190+ skills and 180+ specialist agents with client-specific token tracking and budget control.
Provide Claude Code with expert guidance to install, configure, and optimize memory-lancedb-pro for long-term AI memory management and retrieval.
A GitHub skill repository offers expert guidance for installing and optimizing memory-lancedb-pro to enable long-term AI memory management and retrieval.