head to head · open source
Mem0 vs Multica
Mem0 has 68,288 GitHub stars, 8,104 forks, 742 open issues and last shipped 4 days ago. Multica has 54,637 stars, 7,186 forks, 1,538 open issues and last shipped yesterday. Mem0 leads on adoption by 25% (68,288 vs 54,637 stars). Mem0 is written in Python under Apache-2.0; Multica is written in Go under a custom or non-standard licence. Mem0 has attracted 12% as many forks as stars, Multica 13%. Multica 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.
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Side by side
| Mem0 | Multica | |
|---|---|---|
| GitHub stars | ★ 68K | ★ 55K |
| License | Apache-2.0 | Custom / other |
| Written in | Python | Go |
| Last push | 2026-10-30 | 2026-11-02 |
| Forks | ⑂ 8.1K | ⑂ 7.2K |
| 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
pick Multica if
- You want the Multica feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches Go
- You evaluated both and Multica fits your workflow better
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…
About Multica
Multica Agents that show up on the board. Multica is an open source workspace where you assign work to AI coding agents the way you'd assign it to a teammate — they pick up the issue, report progress, raise blockers, and hand it back for review. Self hostable, works with 26 agent CLIs, no lock in. Website · Docs · Quickstart · Download · Vision · Self Hosting · Discord · X English 简体中文 Your next 10 hires won't be human. What is Multica? You already run Claude Code, Codex, and three other agents. Each one lives in its own terminal tab, forgets everything when the session ends, and leaves you re explaining the…
read the full Multica overview →
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Frequently asked questions
Is Mem0 or Multica more popular?
Mem0 has 68,288 GitHub stars and Multica has 54,637. Mem0 has the larger community by that measure.
Are Mem0 and Multica free?
Both are open source. Mem0 is licensed under Apache-2.0, and Multica has no licence declared in this registry. Both are free to self-host.
What is the difference between Mem0 and Multica?
Mem0 is written in Python and Multica in Go. 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 Multica?
Choose Mem0 if you want the larger community (68,288 stars) or its Apache-2.0 licence terms. Choose Multica if its feature set, stack or Custom / other licence fits better. Both are self-hostable.