io.github.DanceNitra/mnemo MCP Server

Name: io.github.DanceNitra/mnemo MCP Server
Author: io.github.DanceNitra

io.github.DanceNitra/mnemo

Repository Registry

What is the io.github.DanceNitra/mnemo MCP server?

Self-correcting agent memory + MCP server: recall, supersede/revert/review corrections, erasure.

How to install io.github.DanceNitra/mnemo

Copy-paste configuration for popular MCP clients.

transport: stdio

Config generated by PluginBench — verify against the source before use.

Environment / auth

MNEMO_PATH
Path to the JSON memory file the server persists to (defaults to ./mnemo_memory.json).
MNEMO_ECHO_GUARD
1 (default) blocks a restated retired value from resurrecting a corrected fact; 0 = legacy keyed supersession.
MNEMO_EMBED_URL
Optional OpenAI-compatible /embeddings endpoint for SEMANTIC recall (e.g. http://localhost:11434/v1/embeddings for local Ollama). Unset = deterministic lexical recall.
MNEMO_EMBED_MODEL
Embedding model id used with MNEMO_EMBED_URL (default: text-embedding-3-small; for Ollama use e.g. nomic-embed-text).

Claude Desktop

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mnemo": {
      "command": "uvx",
      "args": [
        "agora-mnemo"
      ],
      "env": {
        "MNEMO_PATH": "<YOUR_MNEMO_PATH>",
        "MNEMO_ECHO_GUARD": "<YOUR_MNEMO_ECHO_GUARD>",
        "MNEMO_EMBED_URL": "<YOUR_MNEMO_EMBED_URL>",
        "MNEMO_EMBED_MODEL": "<YOUR_MNEMO_EMBED_MODEL>"
      }
    }
  }
}

Cursor

~/.cursor/mcp.json

{
  "mcpServers": {
    "mnemo": {
      "command": "uvx",
      "args": [
        "agora-mnemo"
      ],
      "env": {
        "MNEMO_PATH": "<YOUR_MNEMO_PATH>",
        "MNEMO_ECHO_GUARD": "<YOUR_MNEMO_ECHO_GUARD>",
        "MNEMO_EMBED_URL": "<YOUR_MNEMO_EMBED_URL>",
        "MNEMO_EMBED_MODEL": "<YOUR_MNEMO_EMBED_MODEL>"
      }
    }
  }
}

Windsurf

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "mnemo": {
      "command": "uvx",
      "args": [
        "agora-mnemo"
      ],
      "env": {
        "MNEMO_PATH": "<YOUR_MNEMO_PATH>",
        "MNEMO_ECHO_GUARD": "<YOUR_MNEMO_ECHO_GUARD>",
        "MNEMO_EMBED_URL": "<YOUR_MNEMO_EMBED_URL>",
        "MNEMO_EMBED_MODEL": "<YOUR_MNEMO_EMBED_MODEL>"
      }
    }
  }
}

VS Code

.vscode/mcp.json

{
  "servers": {
    "mnemo": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "agora-mnemo"
      ],
      "env": {
        "MNEMO_PATH": "<YOUR_MNEMO_PATH>",
        "MNEMO_ECHO_GUARD": "<YOUR_MNEMO_ECHO_GUARD>",
        "MNEMO_EMBED_URL": "<YOUR_MNEMO_EMBED_URL>",
        "MNEMO_EMBED_MODEL": "<YOUR_MNEMO_EMBED_MODEL>"
      }
    }
  }
}

Claude Code

claude mcp add mnemo --env MNEMO_PATH=<YOUR_MNEMO_PATH> --env MNEMO_ECHO_GUARD=<YOUR_MNEMO_ECHO_GUARD> --env MNEMO_EMBED_URL=<YOUR_MNEMO_EMBED_URL> --env MNEMO_EMBED_MODEL=<YOUR_MNEMO_EMBED_MODEL> -- uvx agora-mnemo

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Python

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