Stars
Sub2API 一站式开源中转服务，让 Claude、Openai 、Gemini、Grok订阅统一接入，支持拼车共享，更高效分摊成本，原生工具无缝使用。
Harness Engineering 学习指南 — 从概念理解到独立实践的深度学习档案
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI
Chrome DevTools for coding agents
Assign issues to Claude Code, Codex, Cursor, and 17 more coding agents like teammates — open-source and self-hostable.
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
The agent that grows with you
Spec-driven development (SDD) for AI coding assistants.
🦸 AI 编程超能力 · 中文增强版 — superpowers（116k+ ⭐）完整汉化 + 6 个中国原创 skills，让 Claude Code / Copilot CLI / Hermes Agent / Cursor / Windsurf / Kiro / Gemini CLI 等 16 款 AI 编程工具真正会干活
💫 Toolkit to help you get started with Spec-Driven Development
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
Curated coding interview preparation materials for busy software engineers
Tongyi Deep Research, the Leading Open-source Deep Research Agent
ClickHouse® is a real-time analytics database management system
为键盘工作者设计的单词记忆与英语肌肉记忆锻炼软件 / Words learning and English muscle memory training software designed for keyboard workers
Visual testing tool for MCP servers
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
Lean 4 programming language and theorem prover
A book series (2 published editions) on the JS language.
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）