AI Review Rating

Mem0

Universal memory layer for AI Agents

8.7 Our editorial score, no user reviews yet Open source
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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.

RepositoryGitHub API, refreshed daily

64kStars
7.5kForks
243Watching
399Contributors
681Open issues
Licence
Apache-2.0
Language
Python
Last push
2026-08-24
View on GitHub

Releases

  1. v2.0.19 Mem0 Python SDK (v2.0.19)
  2. vercel-ai-v3.0.2 Vercel AI SDK Provider (v3.0.2)
  3. ts-v3.1.7 Mem0 Node SDK (v3.1.7)
  4. pi-agent-v0.1.5 Mem0 Pi Agent Plugin (v0.1.5)
  5. openclaw-v1.0.16 Mem0 OpenClaw Plugin (v1.0.16)
  6. n8n-nodes-mem0-v0.1.4 Mem0 n8n Integration (v0.1.4)

Pros and cons

Pros

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Firecrawl 9.1 $16 Yes Developers building RAG pipelines and research agents Visit

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