#55th of 12 in Memory

Mem0

Memory layer for agents with a self-hosted server, SDKs and CLI

Stars
67k
License
Apache-2.0
Last commit
Oct 2026
Last release
Sep 2026
Language
Python

Overview

Mem0 adds long-term memory to assistants and agents at user, session and agent level. It ships as a Python and npm library, a self-hosted server via docker compose (dashboard on port 3000, auth on by default) and a managed cloud. Memories are extracted by an LLM (gpt-5-mini by default) and retrieved with semantic, BM25 and entity matching; an optional NLP extra adds spaCy for hybrid search.

Who it is for: Developers adding persistent user memory to chatbots and agents

Strengths

  • Library, self-hosted server with dashboard and API keys, or managed platform share one API
  • Multi-signal retrieval: semantic, BM25 keyword and entity matching with temporal reasoning
  • CLI and agent skills for Claude Code, Codex, Cursor and others
  • Apache-2.0; evaluation framework is open source

Weaknesses

  • Requires an LLM for extraction; OpenAI gpt-5-mini and text-embedding-3-small are the defaults
  • Benchmark scores reflect the managed platform, not the open-source SDK
  • Self-hosted server exposes only teasers of advanced features; all included in cloud
  • Hybrid search recommends at least a 600M-parameter embedding model

What it needs

  • no GPU
  • Models: OpenAI gpt-5-mini (default), OpenAI text-embedding-3-small (default), other providers per docs
  • port 3000

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