Our verdict
A solid, actively developed project. This assessment is derived from GitHub's own repository metrics on 2026-08-24, not from hands-on testing.
Universal memory layer for AI Agents. The project is written primarily in Python, released under Apache-2.0, and has 63,962 stars and 7,478 forks on GitHub. 399 contributors have committed to it, and the most recent push was 2026-08-24. The latest tagged release is v2.0.19 (2026-08-24). Figures come from the GitHub API on 2026-08-24 and are refreshed daily; the score below weighs adoption, maintenance, release discipline, contributor breadth, licence clarity and issue hygiene.
Repository
64kStars
7.5kForks
243Watching
399Contributors
681Open issues
- Licence
- Apache-2.0
- Language
- Python
- Last push
- 2026-08-24
Releases
-
v2.0.19Mem0 Python SDK (v2.0.19) -
vercel-ai-v3.0.2Vercel AI SDK Provider (v3.0.2) -
ts-v3.1.7Mem0 Node SDK (v3.1.7) -
pi-agent-v0.1.5Mem0 Pi Agent Plugin (v0.1.5) -
openclaw-v1.0.16Mem0 OpenClaw Plugin (v1.0.16) -
n8n-nodes-mem0-v0.1.4Mem0 n8n Integration (v0.1.4)
Pros and cons
Pros
Cons
User reviews
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Side by side
| Tool | Our score | From | Free tier | Best for | |
|---|---|---|---|---|---|
| Mem0 this page | 8.7 | — | Yes | ||
| LangChain | 9.9 | $1 | Yes | ||
| ECC | 9.4 | — | Yes | ||
| Browser Use | 9.3 | — | Yes | ||
| Gemini CLI | 9.2 | — | Yes | ||
| Claude Mem | 9.1 | — | Yes | ||
| Firecrawl | 9.1 | $16 | Yes | Developers building RAG pipelines and research agents | Visit |
