head to head · open source

Mem0 vs Agno

Mem0 has 68,288 GitHub stars, 8,104 forks, 742 open issues and last shipped 4 days ago. Agno has 43,019 stars, 6,229 forks, 1,419 open issues and last shipped yesterday. Mem0 leads on adoption by 59% (68,288 vs 43,019 stars). Mem0 is written in Python under Apache-2.0; Agno is written in Python under Apache-2.0. Mem0 has attracted 12% as many forks as stars, Agno 14%. Agno was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (agents, ai, ai-agents, python), 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 ★ 68K Agno ★ 43K category AI & Machine Learning

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Side by side

Mem0 Agno
GitHub stars ★ 68K ★ 43K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2026-10-30 2026-11-02
Forks ⑂ 8.1K ⑂ 6.2K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Mem0 if

  • You weight community size — 68K 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 Agno if

  • You want the Agno feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and Agno fits your workflow better

full Agno profile →

About Mem0

Learn more · Join Discord · Demo 📄 Benchmarking Mem0's token efficient memory algorithm → New Memory Algorithm (April 2026) All benchmarks run on the same production representative model stack. Single pass retrieval (one call, no agentic loops) at a top 200 retrieval budget. Scores reflect Mem0's managed platform, which includes proprietary optimizations not available in the open source SDK; open source users should expect directionally similar gains but not identical numbers. What changed: Single pass ADD only extraction one LLM call, no UPDATE/DELETE. Memories accumulate; nothing is overwritten. Agent…

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About Agno

Build, run, and manage agent platforms. Introduction Agno is a framework and runtime for agent platforms. Build agents, run them as a service, manage your platform using a web UI. Build your agent platform using the Agno SDK. Run your agent platform using the AgentOS runtime. Manage everything using the AgentOS UI. Agno allows you to own your agent stack. Maintain control of your data, memory, and security posture (JWT based RBAC), and turn your agent platform into a learning loop with simulations and usage data. Get started Hand this prompt to your coding agent (Claude Code, Cursor, Codex): Your coding agent…

read the full Agno overview →

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Frequently asked questions

Is Mem0 or Agno more popular?

Mem0 has 68,288 GitHub stars and Agno has 43,019. Mem0 has the larger community by that measure.

Are Mem0 and Agno free?

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

What is the difference between Mem0 and Agno?

Mem0 is written in Python and Agno 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 Agno?

Choose Mem0 if you want the larger community (68,288 stars) or its Apache-2.0 licence terms. Choose Agno if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.