Mem0

Persistent Memory Layer for AI Applications

Mem0 is a memory infrastructure layer for AI applications that enables LLMs to remember user preferences, past interactions, and important context across conversations. It provides the memory functionality as a service — a simple API that any LLM-powered application can integrate to give its AI the ability to learn and remember over time, without building custom memory infrastructure from scratch.

How Mem0 Works

Mem0 sits between your application and the LLM. When a conversation occurs, Mem0 intelligently extracts and stores relevant memories — user preferences, key facts, past decisions, and important context. When the user returns for a new conversation, Mem0 retrieves relevant memories and injects them into the prompt, giving the LLM the context it needs to provide a personalized, consistent experience.

• Simple API for adding and retrieving memories
• Automatic memory extraction from conversations
• User, agent, and session-level memory scoping
• Semantic search for relevant memory retrieval
• Open-source core with managed cloud option

For AI Application Developers

Developers building AI assistants, chatbots, and agents integrate Mem0 as the memory layer rather than building their own. It abstracts the complexity of vector storage, embedding, and retrieval into a simple API, enabling teams to add persistent memory to their AI applications in hours rather than weeks.