head to head · open source

AIHawk vs PocketFlow

AIHawk has 31,599 GitHub stars, 4,669 forks, 1 open issues and last shipped 2 days ago. PocketFlow has 11,185 stars, 1,212 forks, 75 open issues and last shipped 2 months ago. AIHawk leads on adoption by 183% (31,599 vs 11,185 stars). AIHawk is written in Python under MIT; PocketFlow is written in Python under MIT. AIHawk has attracted 15% as many forks as stars, PocketFlow 11%. AIHawk 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.

AIHawk ★ 32K PocketFlow ★ 11K category AI & Machine Learning

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Side by side

AIHawk PocketFlow
GitHub stars ★ 32K ★ 11K
License MIT MIT
Written in Python Python
Last push 2026-09-18 2026-07-26
Forks ⑂ 4.7K ⑂ 1.2K
Self-hosting Yes Yes
Data ownership Your server Your server

pick AIHawk if

  • You weight community size — 32K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full AIHawk profile →

pick PocketFlow if

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

full PocketFlow profile →

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 →

About PocketFlow

PocketFlow is a 100 line, zero dependency Python framework for building LLM agents, multi agent systems, workflows, and RAG pipelines, aimed at developers who want graph based orchestration without the weight of larger frameworks.

read the full PocketFlow 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.

AIHawk vs Dify AIHawk vs langchain AIHawk vs ponytail AIHawk vs generative-ai-for-beginners AIHawk vs graphify AIHawk vs claude-mem AIHawk vs ragflow AIHawk vs PaddleOCR AIHawk vs Agent-Reach AIHawk vs headroom AIHawk vs Mem0 AIHawk vs daily_stock_analysis

Frequently asked questions

Is AIHawk or PocketFlow more popular?

AIHawk has 31,599 GitHub stars and PocketFlow has 11,185. AIHawk has the larger community by that measure.

Are AIHawk and PocketFlow free?

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

What is the difference between AIHawk and PocketFlow?

AIHawk is written in Python and PocketFlow 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, AIHawk or PocketFlow?

Choose AIHawk if you want the larger community (31,599 stars) or its MIT licence terms. Choose PocketFlow if its feature set, stack or MIT licence fits better. Both are self-hostable.