head to head · open source
graphrag vs ruoyi-ai
graphrag has 36,035 GitHub stars, 3,794 forks, 47 open issues and last shipped yesterday. ruoyi-ai has 5,710 stars, 1,407 forks, 7 open issues and last shipped 9 days ago. graphrag leads on adoption by 531% (36,035 vs 5,710 stars). graphrag is written in Python under MIT; ruoyi-ai is written in Java under MIT. graphrag has attracted 11% as many forks as stars, ruoyi-ai 25%. graphrag was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (rag), 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
| graphrag | ruoyi-ai | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 5.7K |
| License | MIT | MIT |
| Written in | Python | Java |
| Last push | 2026-09-19 | 2026-09-11 |
| Forks | ⑂ 3.8K | ⑂ 1.4K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick graphrag if
- You weight community size — 36K 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 graphrag
GraphRAG is a modular, Python based, MIT licensed data pipeline and transformation suite from Microsoft Research that uses large language models to extract structured data from unstructured text, then exploits the resulting knowledge graph to form targeted context for question answering over private data.
read the full graphrag overview →
About ruoyi-ai
RuoYi AI is an MIT licensed, Java based enterprise AI development framework for building AI agents, aimed at developers and platform teams that need multi provider LLM management, private knowledge bases, visual workflow orchestration and multi agent coordination in a single self hostable stack.
read the full ruoyi-ai overview →
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Frequently asked questions
Is graphrag or ruoyi-ai more popular?
graphrag has 36,035 GitHub stars and ruoyi-ai has 5,710. graphrag has the larger community by that measure.
Are graphrag and ruoyi-ai free?
Both are open source. graphrag is licensed under MIT and ruoyi-ai under MIT. Neither carries a licence fee.
What is the difference between graphrag and ruoyi-ai?
graphrag 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, graphrag or ruoyi-ai?
Choose graphrag if you want the larger community (36,035 stars) or its MIT licence terms. Choose ruoyi-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.