head to head · open source

Mem0 vs Suna

Mem0 has 65,505 GitHub stars, 7,683 forks, 742 open issues and last shipped yesterday. Suna has 20,218 stars, 3,434 forks, 74 open issues and last shipped yesterday. Mem0 leads on adoption by 224% (65,505 vs 20,218 stars). Mem0 is written in Python under Apache-2.0; Suna is written in TypeScript under a custom or non-standard licence. Mem0 has attracted 12% as many forks as stars, Suna 17%. Suna was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai, ai-agents, llm), 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.

Mem0 ★ 66K Suna ★ 20K category AI & Machine Learning

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Side by side

Mem0 Suna
GitHub stars ★ 66K ★ 20K
License Apache-2.0 Custom / other
Written in Python TypeScript
Last push 2026-09-17 2026-09-17
Forks ⑂ 7.7K ⑂ 3.4K
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 Suna if

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

full Suna 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 Suna

Suna is an open source AI Management System for autonomous AI agents that complete real world work. It lives in the AI and machine learning ecosystem, specifically AI development platforms, and presents an open source alternative to Claude Cowork and ChatGPT Work. It packages agents, shared skills, company memory, connectors, and runtime configuration into a git repository, so teams can version, diff, audit, and reuse agent logic.

read the full Suna overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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Compare either of these against the rest of the AI Development Platforms field.

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 Suna more popular?

Mem0 has 65,505 GitHub stars and Suna has 20,218. Mem0 has the larger community by that measure.

Are Mem0 and Suna free?

Both are open source. Mem0 is licensed under Apache-2.0, and Suna has no licence declared in this registry. Both are free to self-host.

What is the difference between Mem0 and Suna?

Mem0 is written in Python and Suna 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, Mem0 or Suna?

Choose Mem0 if you want the larger community (65,505 stars) or its Apache-2.0 licence terms. Choose Suna if its feature set, stack or Custom / other licence fits better. Both are self-hostable.