head to head · open source

ragflow vs aihawk_mcp_server

ragflow has 93,365 GitHub stars, 11,207 forks, 1,525 open issues and last shipped yesterday. aihawk_mcp_server has 32,357 stars, 4,739 forks, 2 open issues and last shipped 3 days ago. ragflow leads on adoption by 189% (93,365 vs 32,357 stars). ragflow is written in Go under Apache-2.0; aihawk_mcp_server is written in TypeScript under MIT. ragflow has attracted 12% as many forks as stars, aihawk_mcp_server 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_mcp_server ★ 32K category AI & Machine Learning

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Side by side

ragflow aihawk_mcp_server
GitHub stars ★ 93K ★ 32K
License Apache-2.0 MIT
Written in Go TypeScript
Last push 2026-11-02 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_mcp_server if

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

full aihawk_mcp_server 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_mcp_server

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 install it in your assistant. 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_mcp_server overview →

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Frequently asked questions

Is ragflow or aihawk_mcp_server more popular?

ragflow has 93,365 GitHub stars and aihawk_mcp_server has 32,357. ragflow has the larger community by that measure.

Are ragflow and aihawk_mcp_server free?

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

What is the difference between ragflow and aihawk_mcp_server?

ragflow is written in Go and aihawk_mcp_server 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_mcp_server?

Choose ragflow if you want the larger community (93,365 stars) or its Apache-2.0 licence terms. Choose aihawk_mcp_server if its feature set, stack or MIT licence fits better. Both are self-hostable.