Mem0

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Mem0 is a memory layer built for AI agents and LLM applications. Connected to Neotask, you can store, search, update, and manage persistent memories across different users and agents — useful if you're building or operating something that needs to remember context across conversations rather than starting fresh every time.

• Store and search persistent memories for AI agents and LLM applications
• Update and manage memories across different users and agents
• Maintain a memory layer your application can query for cross-conversation context

What you can automate

Mem0 MCP Server

Mem0 lets you store, search, update, and manage persistent memories for AI agents and LLM applications across different users and agents. You can maintain a memory layer that your application can query for context across conversations.

Real workflows

Give an agent persistent memory across sessions

Ask Neotask to store a fact or preference in Mem0 tied to a specific user, then later have it search Mem0 for that context so a downstream agent doesn't start blind.

Audit or update stored memories

Ask Neotask to search Mem0 for what's currently stored about a user or agent, and update or remove entries that are stale.

Frequently asked questions

Is this memory shared across users and agents?

Mem0 can maintain persistent memories across different users and agents, and you manage which memories apply where.

Can existing memories be updated, not just added?

Yes — you can store, search, update, and manage memories, not just append new ones.