Managed memory layer for AI agents providing persistent, personalized memory across conversations with automatic extraction and retrieval.
A managed memory service that gives your AI agents persistent, personalized memory — your AI remembers every user's preferences and history.
Mem0 Platform is the managed cloud version of the popular open-source Mem0 memory library, providing a production-ready memory layer for AI agents and applications. It automatically extracts, stores, and retrieves relevant memories from conversations, giving agents the ability to remember user preferences, past interactions, and contextual information across sessions.
The platform goes beyond simple conversation history storage. Its memory extraction engine uses LLMs to identify and store discrete, meaningful facts from conversations — things like user preferences, stated goals, personal information, and interaction patterns. These memories are stored as structured entities with metadata, making them efficiently searchable and retrievable.
Retrieval is context-aware: when an agent processes a new message, Mem0 automatically surfaces relevant memories based on semantic similarity, recency, and importance. This means agents naturally recall relevant past context without explicit programming — they simply 'remember' that the user prefers Python over JavaScript, or that they're working on a specific project.
The platform provides APIs for memory management — add, search, update, and delete memories — with SDKs for Python and JavaScript. It supports user-level, session-level, and agent-level memory scoping, enabling personalization at multiple granularities. Organizations can maintain separate memory stores for different agents or applications.
Mem0 Platform includes a dashboard for viewing, editing, and managing stored memories. This transparency is important for building user trust and compliance — users can see what the agent remembers about them and request deletions.
The managed version adds features beyond the open-source library: higher reliability, automatic scaling, longer retention, team management, and enterprise security. It also includes memory analytics showing what types of information agents are retaining and how memories impact conversation quality.
For any agent system that interacts with users across multiple sessions — customer support, personal assistants, coaching tools, or educational platforms — Mem0 Platform provides the memory infrastructure that transforms stateless chatbots into contextually aware assistants that improve with every interaction.
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LLM-powered extraction of discrete facts, preferences, and context from conversations without manual annotation.
Use Case:
An agent automatically remembering that a user prefers email over Slack for notifications after they mention it in conversation.
Automatically surfaces relevant memories based on semantic similarity, recency, and importance when processing new messages.
Use Case:
A support agent recalling a user's previous issue and resolution when they contact support again.
Memory scoping at user, session, and agent levels for personalization at different granularities.
Use Case:
Maintaining per-user preferences while also keeping agent-level knowledge about common issues.
Web UI for viewing, editing, and managing stored memories with search and filtering capabilities.
Use Case:
Auditing what personal information agents have stored and managing GDPR deletion requests.
Insights into memory usage patterns, retention types, and the impact of memory on conversation quality.
Use Case:
Understanding which types of memories most improve agent interactions to optimize extraction.
Python and JavaScript SDKs with REST API for memory CRUD operations, supporting any agent framework.
Use Case:
Adding persistent memory to a custom agent by calling Mem0's API at the start and end of each conversation.
Free
month
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View Pricing Options →Personalized AI assistants
Customer support with context
Educational and coaching agents
Long-running conversational agents
We believe in transparent reviews. Here's what Mem0 Platform doesn't handle well:
The open-source library runs locally and requires you to manage storage and infrastructure. The Platform is a managed service with higher reliability, auto-scaling, dashboards, analytics, and enterprise features.
Yes, you can configure memory categories, set retention policies, and manually add or delete specific memories through the API or dashboard.
Mem0 Platform works with any agent regardless of the LLM used. It integrates at the conversation level via API calls, not at the LLM level.
Mem0 Platform provides data isolation, encryption at rest and in transit, and GDPR-compliant deletion capabilities. Enterprise plans offer additional security controls.
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See how Mem0 Platform compares to Mem0 and other alternatives
View Full Comparison →AI Memory & Search
Long-term memory layer for personalized AI agents.
AI Memory & Search
Temporal knowledge graph and memory store for assistants.
AI Memory & Search
LangChain memory primitives for long-horizon agent workflows.
AI Memory & Search
Stateful agent platform inspired by persistent memory architectures.
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