head to head · open source
Agent-Reach vs graphrag
Agent-Reach has 82,870 GitHub stars, 7,248 forks, 137 open issues and last shipped 4 days ago. graphrag has 36,022 stars, 3,795 forks, 47 open issues and last shipped 3 days ago. Agent-Reach leads on adoption by 130% (82,870 vs 36,022 stars). Agent-Reach is written in Python under MIT; graphrag is written in Python under MIT. Agent-Reach has attracted 9% as many forks as stars, graphrag 11%. graphrag was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| Agent-Reach | graphrag | |
|---|---|---|
| GitHub stars | ★ 83K | ★ 36K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-15 | 2026-09-16 |
| Forks | ⑂ 7.2K | ⑂ 3.8K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Agent-Reach if
- You weight community size — 83K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick graphrag if
- You want the graphrag feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and graphrag fits your workflow better
About Agent-Reach
Agent Reach is an open source Python command line tool that gives AI agents the ability to read and search the wider internet — Twitter/X, Reddit, YouTube, GitHub, Bilibili, and XiaoHongShu among others — for developers and agent builders who want that reach without paying for platform APIs.
read the full Agent-Reach overview →
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 →
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Frequently asked questions
Is Agent-Reach or graphrag more popular?
Agent-Reach has 82,870 GitHub stars and graphrag has 36,022. Agent-Reach has the larger community by that measure.
Are Agent-Reach and graphrag free?
Both are open source. Agent-Reach is licensed under MIT and graphrag under MIT. Neither carries a licence fee.
What is the difference between Agent-Reach and graphrag?
Agent-Reach is written in Python and graphrag in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Agent-Reach or graphrag?
Choose Agent-Reach if you want the larger community (82,870 stars) or its MIT licence terms. Choose graphrag if its feature set, stack or MIT licence fits better. Both are self-hostable.