head to head · open source

Agent-Reach vs LightRAG

Agent-Reach has 82,870 GitHub stars, 7,248 forks, 137 open issues and last shipped 4 days ago. LightRAG has 39,738 stars, 5,589 forks, 222 open issues and last shipped yesterday. Agent-Reach leads on adoption by 109% (82,870 vs 39,738 stars). Agent-Reach is written in Python under MIT; LightRAG is written in Python under MIT. Agent-Reach has attracted 9% as many forks as stars, LightRAG 14%. LightRAG 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.

Agent-Reach ★ 83K LightRAG ★ 40K category AI & Machine Learning

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Side by side

Agent-Reach LightRAG
GitHub stars ★ 83K ★ 40K
License MIT MIT
Written in Python Python
Last push 2026-09-15 2026-09-18
Forks ⑂ 7.2K ⑂ 5.6K
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

full Agent-Reach profile →

pick LightRAG if

  • You want the LightRAG feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and LightRAG fits your workflow better

full LightRAG profile →

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 LightRAG

LightRAG is a Python retrieval augmented generation framework, released under the MIT licence and presented in an EMNLP 2025 paper, that builds a knowledge graph over documents so that queries can be answered from both graph structure and vector similarity.

read the full LightRAG overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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Compare either of these against the rest of the AI Development Platforms field.

Agent-Reach vs Dify Agent-Reach vs langchain Agent-Reach vs ponytail Agent-Reach vs generative-ai-for-beginners Agent-Reach vs graphify Agent-Reach vs claude-mem Agent-Reach vs ragflow Agent-Reach vs PaddleOCR Agent-Reach vs headroom Agent-Reach vs Mem0 Agent-Reach vs daily_stock_analysis Agent-Reach vs LiteLLM

Frequently asked questions

Is Agent-Reach or LightRAG more popular?

Agent-Reach has 82,870 GitHub stars and LightRAG has 39,738. Agent-Reach has the larger community by that measure.

Are Agent-Reach and LightRAG free?

Both are open source. Agent-Reach is licensed under MIT and LightRAG under MIT. Neither carries a licence fee.

What is the difference between Agent-Reach and LightRAG?

Agent-Reach is written in Python and LightRAG 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 LightRAG?

Choose Agent-Reach if you want the larger community (82,870 stars) or its MIT licence terms. Choose LightRAG if its feature set, stack or MIT licence fits better. Both are self-hostable.