Mem0
AI memory that persists across sessions and agents
Mem0 is drop-in memory infrastructure for AI agents and applications that need context to persist across sessions and agents. It addresses the problem of AI systems forgetting prior interactions: chat history is condensed into compact memories, input is processed to extract and update memories, and relevant memories are retrieved as users interact.
Core capabilities include a Memory Compression Engine, an add-learn-retrieve workflow, and an API accessible through Python and Node.js SDKs, a CLI, MCP Integration, OpenMemory, and a Gateway. Integrations cover frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Agno, Google ADK, Dify, and Flowise; coding tools including Claude Code, Codex, Cursor, and Antigravity; voice platforms such as ElevenLabs and LiveKit; and cloud services like AWS Bedrock. Enterprise features include governance, audit logging, BYOK, and deployment on Kubernetes, private cloud, or air-gapped environments, with SOC 2, HIPAA, and GDPR compliance.
Mem0 is aimed at developers building agents and applications in domains such as healthcare, education, e-commerce, customer support, and sales and CRM. It is available through hosted and self-managed options; the pages reference a pricing page and a startup program, though specific plan details are not described here.
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