Overview
Mem0 is a universal, self-improving AI memory layer designed specifically for Large Language Model (LLM) applications. Addressing the common challenge of AI agents forgetting context and the high costs associated with massive context windows, Mem0 intelligently compresses chat history into highly optimized memory representations. This memory compression engine cuts prompt token usage by up to 80% while retaining essential details and preserving context fidelity. Designed for a zero-friction developer experience, Mem0 can be integrated with a single line of Python or JavaScript code, supporting popular frameworks like OpenAI, LangGraph, and CrewAI. For enterprise operations, Mem0 offers a robust, zero-trust security architecture that is SOC 2 and HIPAA compliant, alongside Bring Your Own Key (BYOK) support. It provides deployment flexibility across on-premise Kubernetes clusters, air-gapped servers, and private clouds. Benchmarks indicate that Mem0 outperforms native OpenAI memory by achieving 26% higher response quality using 90% fewer tokens. With its built-in observability, developers can easily track TTL, size, and access logs for every memory, making it ideal for scaling personalized AI experiences in healthcare, education, sales, and customer support.