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.
🚀 Process JSON data in batches with `llm-batch`, leveraging sequential or parallel modes for efficient interaction with LLMs.
llm-batch is an open-source tool that processes JSON data in batches to enable efficient interaction with large language models using sequential or parallel modes.
🔍 Simulate LLM inference performance to identify bottlenecks and optimize models with InferSim, a lightweight and dependency-free Python tool.
InferSim is a lightweight Python tool for simulating and analyzing large language model (LLM) inference performance to find bottlenecks and help optimize models.
🌐 Run GGUF models directly in your web browser using JavaScript and WebAssembly for a seamless and flexible AI experience.
A JavaScript and WebAssembly tool enables running GGUF LLM models directly in web browsers for flexible AI inference without backend dependencies.
🚀 Generate and extend production-ready Model Context Protocol (MCP) servers with a modern CLI tool that showcases all MCP features in one cohesive example.
Create-MCP is a CLI tool to generate and extend production-ready Model Context Protocol servers demonstrating full MCP capabilities in a unified example.
🦙 Set up GitHub Actions with Ollama CLI.
This GitHub repository provides a TypeScript-based GitHub Action to set up and use the Ollama CLI in workflows.
Cloud-first enterprise token reduction, validation, and artifact-driven AI processing framework.
Comptextv7 is a Python-based enterprise framework designed for cloud-native AI workflows focusing on token reduction, validation, and artifact-driven processing.
🚀 Accelerate attention mechanisms with FlashMLA, featuring optimized kernels for DeepSeek models, enhancing performance through sparse and dense attention.
FlashMLA accelerates attention mechanisms using optimized CUDA kernels for DeepSeek models, improving performance in sparse and dense attention computations.
🚀 Benchmark your MCP server with real GitHub issues for accurate performance metrics using a simple command.
ZaikoXeas/mcpbr is a Python benchmarking tool that tests MCP servers using real GitHub issues to measure performance accurately with a simple CLI command.