head to head · open source

ragflow vs Agent-Reach

ragflow has 90,889 GitHub stars, 10,759 forks, 1,525 open issues and last shipped yesterday. Agent-Reach has 82,763 stars, 7,236 forks, 137 open issues and last shipped 3 days ago. ragflow leads on adoption by 10% (90,889 vs 82,763 stars). ragflow is written in Go under Apache-2.0; Agent-Reach is written in Python under MIT. ragflow has attracted 12% as many forks as stars, Agent-Reach 9%. ragflow 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.

ragflow ★ 91K Agent-Reach ★ 83K category AI & Machine Learning

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Side by side

ragflow Agent-Reach
GitHub stars ★ 91K ★ 83K
License Apache-2.0 MIT
Written in Go Python
Last push 2026-09-17 2026-09-15
Forks ⑂ 11K ⑂ 7.2K
Self-hosting Yes Yes
Data ownership Your server Your server

pick ragflow if

  • You weight community size — 91K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full ragflow profile →

pick Agent-Reach if

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

full Agent-Reach profile →

About ragflow

RAGFlow is an open source Retrieval Augmented Generation engine that fuses RAG with agent capabilities into a context layer for large language models, built for developers and teams that need to turn complex, unstructured documents into production AI systems.

read the full ragflow overview →

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 →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K 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.

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

Frequently asked questions

Is ragflow or Agent-Reach more popular?

ragflow has 90,889 GitHub stars and Agent-Reach has 82,763. ragflow has the larger community by that measure.

Are ragflow and Agent-Reach free?

Both are open source. ragflow is licensed under Apache-2.0 and Agent-Reach under MIT. Neither carries a licence fee.

What is the difference between ragflow and Agent-Reach?

ragflow is written in Go and Agent-Reach 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, ragflow or Agent-Reach?

Choose ragflow if you want the larger community (90,889 stars) or its Apache-2.0 licence terms. Choose Agent-Reach if its feature set, stack or MIT licence fits better. Both are self-hostable.