Mnemoverse Memory

Persistent memory for AI agents - One memory.

CommunityOnlineNo sign-inGlobalFreeCan modify data

What it can do

  • Memory Read: Recall relevant long-term memories via semantic search + Hebbian expansion. Returns ranked atoms with content, relevance, and concepts.
  • Memory Stats: Report statistics about the caller's memory store (atom counts, Hebbian edges, domains, average valence/importance).
  • Memory Write: Store a new long-term memory atom. The content is embedded, importance-gated, and linked via Hebbian associations. Returns whether it was stored and its atom_id.

What data it sees

Do you need an account

No: the server works without sign-in

Persistent memory for AI agents - One memory. Every AI tool. Write once, recall anywhere — across Claude Code, Cursor, VS Code, ChatGPT, and Python, with a single API key or OAuth

How to connect

How to connect Mnemoverse Memory to Claude

The server address to paste into Claude settings:

https://mnemoverse-mcp-remote--mnemoverse.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Mnemoverse Memory to ChatGPT

The server address to paste into ChatGPT settings:

https://mnemoverse-mcp-remote--mnemoverse.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Mnemoverse Memory to Cursor

The server address to paste into Cursor settings:

https://mnemoverse-mcp-remote--mnemoverse.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (4)

Raw names from tools/list. Only developers need these.

memory_readRecall relevant long-term memories via semantic search + Hebbian expansion. Returns ranked atoms with content, relevance, and concepts.
memory_statsReport statistics about the caller's memory store (atom counts, Hebbian edges, domains, average valence/importance).
memory_writeStore a new long-term memory atom. The content is embedded, importance-gated, and linked via Hebbian associations. Returns whether it was stored and its atom_id.
memory_feedbackTeach the memory system which recalled atoms worked. Updates valence and reinforces Hebbian links. Use atom_ids from a prior memory_read.