Mem0 is an open-source memory layer for AI applications and agents that helps systems retain useful information across conversations and sessions. Instead of repeatedly sending complete interaction histories to a model, applications can extract, store, retrieve, and update relevant memories about users, tasks, and prior events. The goal is to make assistants more personalized and context-aware while keeping memory management separate from the core language model.

Mem0 can be integrated into chatbots, agents, copilots, and multi-agent systems through APIs and developer libraries, and it supports different storage and model components. Typical uses include remembering user preferences, long-term project context, previous decisions, and information needed for follow-up tasks. It is especially useful for developers who want persistent AI behavior without building a custom memory architecture from scratch.