Open source ai-coding projects
Every project in the registry tagged ai-coding, ranked by real GitHub adoption.
Open-source e-commerce for modern developers
DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked contex
An open-source AI coding agent that lives in your terminal.
AI coding agent for VS Code, JetBrains, CLI, and Cloud
Run dozens of AI coding agents in parallel on your machine
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani
Free, local tool to track AI coding token usage and cost across 37 tools and agents (Claude Code, Cursor, Codex, Gemini and more), by model, project, and task.
Project management skill system for Agents that uses GitHub Issues and Git worktrees for parallel agent execution.
🦸 AI 编程超能力 · 中文增强版 — superpowers（250k+ ⭐）完整汉化 + 4 个中国原创 skills，让 Claude Code / Copilot CLI / Hermes Agent / Cursor / Windsurf / Kiro / Gemini CLI / Qoder 等 26
AI-native CRM/ERP foundation with 80% already built
Autoprompt is a coding-agent skill that cuts failures by 45% on agentic coding tasks.
AI coding agent that sees your live app and edits code
Related tags
Frequently asked questions
How many open source ai-coding projects are there?
This registry tracks 14 projects tagged ai-coding, with 228,066 GitHub stars between them. The most-adopted is Medusa at 36,356 stars.
Are these ai-coding projects free to use?
Yes — 11 of the 14 carry an explicit open-source licence across 2 distinct licences, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.
Which ai-coding project should I choose?
The list above is ranked by GitHub stars, but stars measure attention rather than fit. Check three things on each card: the licence (permissive versus copyleft), the language it is written in, and the last-push date — a high-star project that has not been pushed in a year is a liability.
Are these ai-coding projects still maintained?
13 of the 14 were pushed in the last 90 days, and every card shows its exact last-push date so you can see the rest. Sort your shortlist by that date before committing to a migration.