head to head · open source

Mem0 vs AIHawk

Mem0 has 65,672 GitHub stars, 7,712 forks, 742 open issues and last shipped yesterday. AIHawk has 31,599 stars, 4,669 forks, 1 open issues and last shipped 2 days ago. Mem0 leads on adoption by 108% (65,672 vs 31,599 stars). Mem0 is written in Python under Apache-2.0; AIHawk is written in Python under MIT. Mem0 has attracted 12% as many forks as stars, AIHawk 15%. Mem0 was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

Mem0 ★ 66K AIHawk ★ 32K category AI & Machine Learning

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Side by side

Mem0 AIHawk
GitHub stars ★ 66K ★ 32K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-09-19 2026-09-18
Forks ⑂ 7.7K ⑂ 4.7K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Mem0 if

  • You weight community size — 66K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Mem0 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 Mem0

Mem0 is an open source memory layer for AI agents and applications, designed to store, retrieve, and manage persistent context across interactions. It lives in the Python based AI development ecosystem and provides infrastructure that enables agents and apps to remember user preferences, conversation history, and state over time—moving beyond ephemeral chat sessions toward truly adaptive systems.

read the full Mem0 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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Mem0 vs Dify Mem0 vs langchain Mem0 vs ponytail Mem0 vs generative-ai-for-beginners Mem0 vs graphify Mem0 vs claude-mem Mem0 vs ragflow Mem0 vs PaddleOCR Mem0 vs Agent-Reach Mem0 vs headroom Mem0 vs daily_stock_analysis Mem0 vs LiteLLM

Frequently asked questions

Is Mem0 or AIHawk more popular?

Mem0 has 65,672 GitHub stars and AIHawk has 31,599. Mem0 has the larger community by that measure.

Are Mem0 and AIHawk free?

Both are open source. Mem0 is licensed under Apache-2.0 and AIHawk under MIT. Neither carries a licence fee.

What is the difference between Mem0 and AIHawk?

Mem0 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, Mem0 or AIHawk?

Choose Mem0 if you want the larger community (65,672 stars) or its Apache-2.0 licence terms. Choose AIHawk if its feature set, stack or MIT licence fits better. Both are self-hostable.