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.
Build a GPT-style LLM in C# from scratch with clear, readable code for learning transformer internals and training basics
A GPT-style large language model is implemented in C# with clear code to teach transformer internals and training basics.
Python SDK for interacting with the MCP Toolbox for Databases.
Google's MCP Toolbox SDK for Python enables programmatic interaction with large language model-powered database tools, integrating with AI frameworks like Langchain and LlamaIndex.
ArtSeek combines late-interaction retrieval over a 5M+ multimodal corpus with LICN-based attribute prediction to understand artists, genres, and styles 🐙.
ArtSeek is a multimodal AI system combining late-interaction retrieval with attribute prediction to analyze artists, genres, and styles from a large corpus. It leverages vision-language and large language model techniques for enhanced understanding.
🛠️ Build and train multimodal models easily with LLaVA-OneVision 1.5, an open framework designed for seamless integration of vision and language tasks.
LLaVA-OneVision 1.5 is an open-source framework enabling easy building and training of large multimodal models that integrate vision and language tasks.
🤖 Enhance reasoning and interaction with Apollo Astralis 8B, a next-gen AI model that blends strong logic and a warm personality for effective communication.
Apollo Astralis 8B is an 8-billion parameter AI language model designed to integrate strong reasoning capabilities with a personable communication style.
🌐 Rethink Multimodal Large Language Models design and scaling under data constraints with NaViL, enhancing efficiency and performance through Native Training.
NaViL proposes a new approach to designing and scaling multimodal large language models under data constraints by using Native Training to improve efficiency and performance.
Optimize game development workflows with this specialized large language model designed for architecture design and engine-specific tasks.
A specialized large language model optimizes game development by focusing on architecture design and engine-specific tasks.
Run Gemma 4 on Apple Silicon for text, vision, and automated Apple Photos captioning using MLX.
Gemma 4, an AI model supporting text and vision tasks, is made runnable on Apple Silicon using MLX, enabling automated captions for Apple Photos.
QLoRA fine-tuning and evaluation framework for medical reasoning LLMs using Qwen2.5-3B with CoT vs No-CoT comparison.
A framework for fine-tuning and evaluating medical reasoning LLMs using QLoRA on Qwen2.5-3B, comparing chain-of-thought prompting versus no chain-of-thought.
🤖 Format your codebase for Large Language Models effortlessly, respecting `.gitignore` rules and preparing a clean text block for easy analysis.
AzoraAHAI2001/llm-formatter is a tool that formats codebases into clean text blocks for large language models, respecting .gitignore to streamline AI analysis.