head to head · open source

ragflow vs AIHawk

ragflow has 91,015 GitHub stars, 10,780 forks, 1,525 open issues and last shipped today. AIHawk has 31,599 stars, 4,669 forks, 1 open issues and last shipped 2 days ago. ragflow leads on adoption by 188% (91,015 vs 31,599 stars). ragflow is written in Go under Apache-2.0; AIHawk is written in Python under MIT. ragflow has attracted 12% as many forks as stars, AIHawk 15%. ragflow was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (agentic-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.

ragflow ★ 91K AIHawk ★ 32K category AI & Machine Learning

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Side by side

ragflow AIHawk
GitHub stars ★ 91K ★ 32K
License Apache-2.0 MIT
Written in Go Python
Last push 2026-09-20 2026-09-18
Forks ⑂ 11K ⑂ 4.7K
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 AIHawk if

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

full AIHawk 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 AIHawk

AIHawk is an open source, MIT licensed Python MCP server that gives coding assistants and standalone users an anti detect browser for undetected web browsing, AI web scraping, and computer use agents, driven by plain language instructions.

read the full AIHawk overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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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 Agent-Reach ragflow vs headroom ragflow vs Mem0 ragflow vs daily_stock_analysis ragflow vs LiteLLM

Frequently asked questions

Is ragflow or AIHawk more popular?

ragflow has 91,015 GitHub stars and AIHawk has 31,599. ragflow has the larger community by that measure.

Are ragflow and AIHawk free?

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

What is the difference between ragflow and AIHawk?

ragflow is written in Go and AIHawk 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 AIHawk?

Choose ragflow if you want the larger community (91,015 stars) or its Apache-2.0 licence terms. Choose AIHawk if its feature set, stack or MIT licence fits better. Both are self-hostable.