Open source genai projects
Every project in the registry tagged genai, ranked by real GitHub adoption.
Build and deploy AI agents and RAG pipelines visually
Persistent memory layer for AI agents and apps
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Langua
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with exp
MCP Toolbox for Databases is an open source MCP server for databases.
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent,
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
Optimizing inference proxy for LLMs
Monitor, debug, and scale LLM applications with ease
Build fast and accurate GenAI apps with GraphRAG SDK at scale 🌟
Build and deploy AI agents through visual workflows
Transform long URLs into beautiful, trackable short links
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Frequently asked questions
How many open source genai projects are there?
This registry tracks 14 projects tagged genai, with 377,436 GitHub stars between them. The most-adopted is Dify at 156,167 stars.
Are these genai projects free to use?
Yes — 13 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 genai 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 genai projects still maintained?
14 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.