mem0ai/mem0
Persistent memory layer for AI agents and applications. mem0 gives LLMs the ability to remember user preferences, past conversations, and learned context across sessions — addressing the fundamental limitation that every LLM conversation starts from zero. Unlike RAG systems that retrieve static documents, mem0 continuously updates a structured memory graph as conversations happen, so the AI gets progressively smarter about each user over time.
Why It Matters
Every production LLM application eventually hits the same wall: the model forgets everything between sessions. mem0 solves this with an intelligent memory layer that stores, retrieves, and updates contextual knowledge automatically. In benchmarks against OpenAI's built-in memory system, mem0 achieves 26% higher accuracy while using 90% fewer tokens and running 91% faster — meaning better personalization at lower cost. With 49,900 GitHub stars, it's become the default memory solution for agent frameworks like LangChain, LlamaIndex, and CrewAI.