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Mnemoverse Memory — Claude Code MCP server: agent memory

A hosted long-term memory server for AI agents over MCP. Agents save notes and pull them back with a plain-language query.

Install into Claude Code · Platform CLI: remote server All methods and platforms ↓
claude mcp add --transport http mcp-memory-server https://mcp.mnemoverse.com/mcp
Open on GitHub

What Mnemoverse Memory does

The server exposes memory_write to store something and memory_read to fetch it by description rather than exact match. A third call, memory_feedback, lets you mark a recalled note as helpful or misleading, and that verdict changes the ranking of later results. Passing domain: "user:<id>" on both read and write keeps separate users' notes apart; the field is a namespace inside your account, not an access control.

You can connect either way. The hosted endpoint https://mcp.mnemoverse.com/mcp authenticates over OAuth, so no key is involved. The local route runs npx -y @mnemoverse/mcp-memory-server with an API key supplied through environment variables. The free plan covers a thousand queries a day across reads, writes and feedback, with 10,000 atoms of storage and 60 requests per minute.

The memory engine itself is a hosted service. Only the MCP server is open, under MIT. Teams that must keep agent memory inside their own network won't get that here by default — running the engine yourself is available on Enterprise terms. Shared rooms, where several agents draw on one memory, are still in beta.

What it helps with

  • keep an agent's decision and surface it in a later session
  • separate each user's memories with the domain field
  • down-rank bad recalls through memory_feedback
  • share one memory across different editors from a single account
  • let several agents reuse a common pool in a shared room

Example prompts for the agent

  • Save to memory that we picked PostgreSQL over SQLite and why
  • Look up the commit message rules I gave you earlier
  • Mark the last note about deployment as misleading

How to install Mnemoverse Memory

1Platform CLI: remote server

claude mcp add --transport http mcp-memory-server https://mcp.mnemoverse.com/mcp

2Platform CLI

claude mcp add --env MNEMOVERSE_API_KEY=<MNEMOVERSE_API_KEY> --env MNEMOVERSE_API_URL=<MNEMOVERSE_API_URL> --transport stdio mnemoverse-memory -- npx -y @mnemoverse/mcp-memory-server

Replace <…> with your own values

Step by step, with commands for each platform: How to add an MCP server to Claude Code, Codex, Cursor, VS Code, Gemini CLI and more

Questions about Mnemoverse Memory

How do I install Mnemoverse Memory in Claude Code?

Run claude mcp add --transport http mnemoverse-memory https://mcp.mnemoverse.com/mcp, then start Claude and sign in through /mcp. To run the server locally instead, use the command with npx -y @mnemoverse/mcp-memory-server plus the MNEMOVERSE_API_KEY and MNEMOVERSE_API_URL variables.

What does Mnemoverse Memory do?

It keeps an agent's notes — decisions, preferences, lessons — and returns them when asked in ordinary language. Rating what came back shapes the next round of results.

Do I need an API key?

Not for the hosted endpoint: sign in with OAuth after creating an account. The key is for the local server that runs on your own machine.

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