Mem0
Open-source memory layer for AI agents — persistent personalization across sessions.
Overview
Mem0: The Memory Layer for AI Agents
Mem0 is Open-source memory layer for AI agents — persistent personalization. Stateless LLM calls forget everything between turns. Mem0 gives agents long-term memory with semantic recall, hierarchical scoping (user > agent > session), and cross-session continuity.
Key Features
- Open-source memory layer for AI agents — persistent personalization
- 30K+ GitHub stars; broad adoption across agent frameworks
- Works with any LLM (OpenAI, Anthropic, local models)
- Hierarchical memory (user, agent, session) with semantic recall
- Cloud platform + self-hostable
Ideal Use Case
Any AI agent or assistant that needs to remember user preferences, past conversations, and learned facts across sessions.
Why Use Mem0
Stateless LLM calls forget everything between turns. Mem0 gives agents long-term memory with semantic recall, hierarchical scoping (user > agent > session), and cross-session continuity.
FAQ
Q: vs raw vector DB? A: Mem0 is an opinionated memory layer with extraction, conflict resolution, and recall — not just embedding storage.
Q: Production-ready? A: Yes — dozens of agent products run on it; cloud platform offers managed scaling.
tl;dr
Open-source memory layer for AI agents. 30K stars. Hierarchical memory + semantic recall. The default for agent personalization.
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Looking for more options? Browse the Developer Tools directory or read our best AI coding tools listicle. Mem0 is also tracked on Crunchbase.
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