head to head · open source

ragflow vs AIHawk

ragflow has 93,460 GitHub stars, 11,215 forks, 1,525 open issues and last shipped yesterday. AIHawk has 32,383 stars, 4,739 forks, 1 open issues and last shipped 5 days ago. ragflow leads on adoption by 189% (93,460 vs 32,383 stars). ragflow is written in Go under Apache-2.0; AIHawk is written in TypeScript 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 2 topic tags (agentic-ai, ai-agents), 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 ★ 93K AIHawk ★ 32K category AI & Machine Learning

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Side by side

ragflow AIHawk
GitHub stars ★ 93K ★ 32K
License Apache-2.0 MIT
Written in Go TypeScript
Last push 2026-11-04 2026-10-31
Forks ⑂ 11K ⑂ 4.7K
Self-hosting Yes Yes
Data ownership Your server Your server

pick ragflow if

  • You weight community size — 93K 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 TypeScript
  • You evaluated both and AIHawk fits your workflow better

full AIHawk profile →

About ragflow

Cloud Documentation Roadmap Discord 📕 Table of Contents 💡 What is RAGFlow? 🎮 Get Started 🔥 Latest Updates 🌟 Key Features 🔎 System Architecture 🎬 Self Hosting 🔧 Configurations 🔧 Build a Docker Image 🔨 Launch Service from Source for Development 📚 Documentation 📜 Roadmap 🏄 Community 🙌 Contributing 💡 What is RAGFlow? RAGFlow is a leading open source Retrieval Augmented Generation (RAG) engine that fuses cutting edge RAG with Agent capabilities to create a superior context layer for LLMs. It offers a streamlined RAG workflow adaptable to enterprises of any scale. Powered by a converged context engine…

read the full ragflow overview →

About AIHawk

AIHawk is an anti detect browser and web browsing agent, open source, with an MCP server for coding agents: undetected, no captchas, no blocks. Tell it what you want in plain language. FEATURED IN Business Insider · TechCrunch · Semafor · Wired · The Verge · Vanity Fair · 404 Media Two ways to use this browser agent 1. From your assistant, over MCP Windows, in PowerShell: Linux: Then tell your assistant it exists. Claude Code: Codex: Gemini CLI: 2. Standalone: the web UI We bring the interface, you bring an OpenRouter key. Chat on the left, the live browser on the right. Windows, in PowerShell: Linux: Then open…

read the full AIHawk overview →

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Frequently asked questions

Is ragflow or AIHawk more popular?

ragflow has 93,460 GitHub stars and AIHawk has 32,383. 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 TypeScript. 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 (93,460 stars) or its Apache-2.0 licence terms. Choose AIHawk if its feature set, stack or MIT licence fits better. Both are self-hostable.