Manage persistent AI memory and context across conversations using Letta's memory backend. For developers building multi-turn AI agents that need to retain and recall user information, preferences, and conversation history.
com.letta/memory-mcp
Local install
STDIO
1 required env var
How models use it and what it is built for.
Manage persistent AI memory and context across conversations using Letta's memory backend. For developers building multi-turn AI agents that need to retain and recall user information, preferences, and conversation history.
Local install — runs as a subprocess.
Configuration this server reads at startup.
Letta API key for memory operations
Unique user identifier for associated memories
Where to find authoritative docs and source for Letta Memory.
Paste any of these into Agent Studio after connecting Letta Memory.
Common questions about connecting and running Letta Memory.
What is the Letta memory MCP server?
It's an MCP server that integrates Letta's memory management system, allowing AI agents to persist and retrieve user context across multiple conversations. You connect it via stdio and authenticate with a Letta API key.
How do I authenticate with the Letta memory server?
Set the LETTA_API_KEY environment variable with your Letta API credentials before running the server. Optionally, provide LETTA_USER_ID to scope memories to specific users.
How do I install and run this MCP server?
Install via npm with `npx @letta-ai/memory-mcp@2.0.2`, then configure your MCP client to use stdio transport with the required LETTA_API_KEY environment variable set.
Can I associate memories with specific users?
Yes, use the LETTA_USER_ID environment variable to tie memories to individual users, enabling personalized context retention across conversations.
What memory operations are available through this server?
The server supports standard memory operations via Letta's API. Refer to the Letta documentation or the server's tool definitions for the complete list of available memory management functions.
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