# Mnemoverse Memory

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

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI · ★ 27
- Author: mnemoverse
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/mnemoverse/mcp-memory-server
- Updated: 2026-10-23
- HTML: https://affpapa.org/en/nevibecode/mcp/mnemoverse-memory

## What it 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.

## Requirements
- Needs: Node.js (commands run via npx)
- Remote server: `https://mcp.mnemoverse.com/mcp`
- Environment variables: `MNEMOVERSE_API_KEY`, `MNEMOVERSE_API_URL` — keys and tokens: ask the human for the values, never commit them or put them in shared files.

## Install

### Claude Code (native platform)

1. **Platform CLI: remote server**
```bash
claude mcp add --transport http mcp-memory-server https://mcp.mnemoverse.com/mcp
```

2. **Platform CLI**
```bash
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

### Codex

1. **Platform CLI: remote server**
```bash
codex mcp add mnemoverse-memory --url https://mcp.mnemoverse.com/mcp
```

2. **Platform CLI**
```bash
codex mcp add mnemoverse-memory --env MNEMOVERSE_API_KEY=<MNEMOVERSE_API_KEY> --env MNEMOVERSE_API_URL=<MNEMOVERSE_API_URL> -- npx -y @mnemoverse/mcp-memory-server
```
Replace <…> with your own values

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "mnemoverse-memory": {
            "url": "https://mcp.mnemoverse.com/mcp"
        }
    }
}
```
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "mnemoverse-memory": {
            "command": "npx",
            "args": [
                "-y",
                "@mnemoverse/mcp-memory-server"
            ],
            "env": {
                "MNEMOVERSE_API_KEY": "<MNEMOVERSE_API_KEY>",
                "MNEMOVERSE_API_URL": "<MNEMOVERSE_API_URL>"
            }
        }
    }
}
```
Replace <…> with your own values

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "mnemoverse-memory": {
            "type": "http",
            "url": "https://mcp.mnemoverse.com/mcp"
        }
    }
}
```
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "mnemoverse-memory": {
            "type": "stdio",
            "command": "npx",
            "args": [
                "-y",
                "@mnemoverse/mcp-memory-server"
            ],
            "env": {
                "MNEMOVERSE_API_KEY": "<MNEMOVERSE_API_KEY>",
                "MNEMOVERSE_API_URL": "<MNEMOVERSE_API_URL>"
            }
        }
    }
}
```
Replace <…> with your own values

### Gemini CLI

1. **Platform CLI: remote server**
```bash
gemini mcp add -t http mnemoverse-memory https://mcp.mnemoverse.com/mcp
```

2. **Platform CLI**
```bash
gemini mcp add -e MNEMOVERSE_API_KEY=<MNEMOVERSE_API_KEY> -e MNEMOVERSE_API_URL=<MNEMOVERSE_API_URL> mnemoverse-memory npx -y @mnemoverse/mcp-memory-server
```
Replace <…> with your own values

## When to use it
- 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
- 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

## Similar
- [REA](https://affpapa.org/en/nevibecode/mcp/rea.md) — MCP server · ★ 386989
- [GitHub](https://affpapa.org/en/nevibecode/mcp/github.md) — MCP server · ★ 33918
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- [Codebase Memory](https://affpapa.org/en/nevibecode/mcp/codebase-memory.md) — MCP server · ★ 47392
- [mcp-server](https://affpapa.org/en/nevibecode/mcp/mcp-server.md) — MCP server · ★ 43872

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md