head to head · open source
langchain vs ruoyi-ai
langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. ruoyi-ai has 5,805 stars, 1,429 forks, 7 open issues and last shipped 13 days ago. langchain leads on adoption by 2,465% (148,892 vs 5,805 stars). langchain is written in Python under MIT; ruoyi-ai is written in Java under MIT. langchain has attracted 17% as many forks as stars, ruoyi-ai 25%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| langchain | ruoyi-ai | |
|---|---|---|
| GitHub stars | ★ 149K | ★ 5.8K |
| License | MIT | MIT |
| Written in | Python | Java |
| Last push | 2026-11-02 | 2026-10-21 |
| Forks | ⑂ 25K | ⑂ 1.4K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick langchain if
- You weight community size — 149K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick ruoyi-ai if
- You want the ruoyi-ai feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Java
- You evaluated both and ruoyi-ai fits your workflow better
About langchain
The agent engineering platform. LangChain is a framework for building agents and LLM powered applications. It helps you chain together interoperable components and third party integrations to simplify AI application development — all while future proofing decisions as the underlying technology evolves. [!TIP] Just getting started? Check out Deep Agents — a higher level package built on LangChain for agents that have built in capabilities for common usage patterns such as planning, subagents, file system usage, and more. Quickstart If you're looking for more advanced customization or agent orchestration, check…
read the full langchain overview →
About ruoyi-ai
RuoYi AI [![Contributors][contributors shield]][contributors url] [![Forks][forks shield]][forks url] [![Stargazers][stars shield]][stars url] [![Issues][issues shield]][issues url] [![MIT License][license shield]][license url] Enterprise Grade AI Assistant Platform An out of the box full stack AI platform supporting multi agent collaboration, Supervisor mode orchestration, and multiple decision models, with advanced RAG technology and visual workflow orchestration capabilities 中文 📖 Documentation 🚀 Live Demo 🐛 Report Issues 💡 Feature Requests 🚀 Live Demo ✨ Core Features Project Repositories Partner Projects…
read the full ruoyi-ai overview →
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Frequently asked questions
Is langchain or ruoyi-ai more popular?
langchain has 148,892 GitHub stars and ruoyi-ai has 5,805. langchain has the larger community by that measure.
Are langchain and ruoyi-ai free?
Both are open source. langchain is licensed under MIT and ruoyi-ai under MIT. Neither carries a licence fee.
What is the difference between langchain and ruoyi-ai?
langchain is written in Python and ruoyi-ai in Java. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, langchain or ruoyi-ai?
Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose ruoyi-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.