GH Repository · mem0ai
mem0
The Memory Layer for AI Agents — Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
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Pythonaiagentsagentic-memorychatgptllmpythonmemory-managementagentic-memory-systemraggenaimemorypython/poetrystate-managementmakelong-term-memoryai-agents
mem0 is a Python library that provides a memory layer for AI agents and applications, described as drop-in memory infrastructure with persistent context. It is positioned within the RAG role and manages long-term memory and state for agent systems.
You reach for it when your agent or LLM app needs persistent long-term memory instead of stateless interactions.
Use it to
- Add long-term memory to an AI agent
- Persist conversational context across sessions
- Manage agent state in production applications
- Combine with RAG pipelines for memory retrieval
For Developers building AI agents and LLM applications
- Role
- rag
- Language
- Python
- Licence
- Apache-2.0
- Forks
- 7,677
- Open issues
- 317
- Last push
- 2026-09-17
- Latest release
- release · 2023-07-14
- Skills shipped
- 6
topicsai-agentslong-term-memoryragllmpythonstate-management