head to head · open source

Agent-Reach vs AIHawk

Agent-Reach has 83,525 GitHub stars, 7,317 forks, 137 open issues and last shipped 5 days ago. AIHawk has 31,599 stars, 4,669 forks, 1 open issues and last shipped 2 days ago. Agent-Reach leads on adoption by 164% (83,525 vs 31,599 stars). Agent-Reach is written in Python under MIT; AIHawk is written in Python under MIT. Agent-Reach has attracted 9% as many forks as stars, AIHawk 15%. AIHawk was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agent), 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.

Agent-Reach ★ 84K AIHawk ★ 32K category AI & Machine Learning

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Side by side

Agent-Reach AIHawk
GitHub stars ★ 84K ★ 32K
License MIT MIT
Written in Python Python
Last push 2026-09-15 2026-09-18
Forks ⑂ 7.3K ⑂ 4.7K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Agent-Reach if

  • You weight community size — 84K 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 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 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 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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More AI Development Platforms projects

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 AIHawk more popular?

Agent-Reach has 83,525 GitHub stars and AIHawk has 31,599. Agent-Reach has the larger community by that measure.

Are Agent-Reach and AIHawk free?

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

What is the difference between Agent-Reach and AIHawk?

Agent-Reach is written in Python 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, Agent-Reach or AIHawk?

Choose Agent-Reach if you want the larger community (83,525 stars) or its MIT licence terms. Choose AIHawk if its feature set, stack or MIT licence fits better. Both are self-hostable.