OpenMemory vs mem0
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| OpenMemory | mem0 | |
|---|---|---|
| Tagline | Local persistent memory store for LLM applications | Universal memory layer for AI Agents |
| Stars | 4.3k | 60k |
| Forks | 488 | 7.0k |
| Open issues | 13 | 497 |
| Language | TypeScript | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jun 27, 2026 | Jul 7, 2026 |
| Categories | AI Agents, Data & Retrieval | Inference & Serving, AI Agents |
OpenMemory
OpenMemory is a cognitive memory engine designed for AI agents and large language models (LLMs). It supports real long-term memory, self-hosted storage with local-first architecture using SQLite or PostgreSQL databases. The project offers Python and Node SDKs alongside various integrations such as LangChain, CrewAI, AutoGen, Streamlit, and more.
TypeScript
mem0
Mem0 serves as a universal memory system designed specifically for AI agents. It aims to enhance the long-term memory management in applications such as chatbots and personalized AI systems.
Python