Python

Mem0

Long-term memory for AI agents

by mem0ai · Apache-2.0

64 446stars7 551forksPythonlanguage9 days agolast push

AI agent frameworkAgent memory layerApache-2.0Self-hostedPythonIntermediate

From the README

Install

pip install mem0ai

Single-pass ADD-only extraction -- one LLM call, no UPDATE/DELETE. Memories accumulate; nothing is overwritten.
Agent-generated facts are first-class -- when an agent confirms an action, that information is now stored with equal weight.
Entity linking -- entities are extracted, embedded, and linked across memories for retrieval boosting.
Multi-signal retrieval -- semantic, BM25 keyword, and entity matching scored in parallel and fused.
Temporal Reasoning -- time-aware retrieval that ranks the right dated instance for queries about current state, past events, and upcoming plans.

Documentation ↗

Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.

🛡 Published security advisories

A high count usually means the project is heavily examined. A low count usually means it is little examined — not that it is safe.

No public activity signals for this tool — it has no open repository we can measure.

Olud Pulse ⓘ ★★★★★★★★★★ /100 signals tracked

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What is Mem0?

Mem0 is a memory layer that gives agents and assistants persistent, personalized memory across sessions, with APIs to store, search and consolidate memories.

Why people choose Mem0

Persistent, personalized agent memory
Automatic memory extraction and consolidation
Self-hosted or managed, framework-agnostic

Mem0 at a glance

Category	AI agent framework
Type	Agent memory layer
License	Apache-2.0
Runs locally	Self-hosted
Built with	Python
Skill level	Intermediate
Best for	developers adding persistent memory to agents