Mem0 - The Memory Layer for your AI Apps

# Mem0 – The Memory Layer for AI Apps ## About Mem0 is a universal, self-improving AI memory layer for LLM applications. It powers personalized AI experiences that cut costs and enhance user delight. Backed by Y Combinator and Basis Set Ventures ($24M funding). Used by 100,000+ developers. Tagline: "AI Agents Forget. Mem0 Remembers." Website: https://mem0.ai Docs: https://docs.mem0.ai GitHub Stars: 50,000+ ## What Mem0 Does Mem0 provides a scalable, persistent memory infrastructure for AI agents and LLM applications. It dynamically extracts, consolidates, and retrieves important information from conversations across sessions, users, and channels — enabling truly personalized AI experiences. An enhanced variant, Mem0ᵍ, layers in a graph-based memory store to capture richer, multi-session relationships. ## Research & Performance (ECAI Accepted) Paper: "Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory" Benchmark: LOCOMO Results vs. leading memory approaches: - 26% higher response accuracy compared to OpenAI's memory - 91% lower p95 latency compared to full-context method - 90% fewer tokens used, making memory affordable at scale Read the paper: https://mem0.ai/research ## Use Cases ### Customer Support URL: https://mem0.ai/usecase/customer-support Summary: Give AI support agents full issue history and cross-channel context so they resolve tickets faster without making customers repeat themselves. Problems solved: - Customers repeat themselves across sessions - Context lost between chat, email, and phone - Recurring issues go undetected Key features: - Full issue history across conversations - Early pattern detection across users - Seamless multi-channel context (chat, email, phone) --- ### Healthcare URL: https://mem0.ai/usecase/healthcare Summary: Let healthcare AI agents remember patient history, treatment plans, and therapy progress to deliver more consistent, personalized care. Problems solved: - Patients re-explain medi