NestDaddy
All servers NestDaddy MCP Blog Sign inTry it free
AI and media

Mnemo

io.github.DanceNitra/mnemo ยท v1.24.2

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

Website Source code Set it up

Connect Runs on your machine

Terminal
claude mcp add mnemo -e MNEMO_PATH=<MNEMO_PATH> -e MNEMO_ECHO_GUARD=<MNEMO_ECHO_GUARD> -e MNEMO_EMBED_URL=<MNEMO_EMBED_URL> -e MNEMO_EMBED_MODEL=<MNEMO_EMBED_MODEL> -- uvx agora-mnemo==1.24.2
claude_desktop_config.json
{
  "mcpServers": {
    "mnemo": {
      "command": "uvx",
      "args": [
        "agora-mnemo==1.24.2"
      ],
      "env": {
        "MNEMO_PATH": "<MNEMO_PATH>",
        "MNEMO_ECHO_GUARD": "<MNEMO_ECHO_GUARD>",
        "MNEMO_EMBED_URL": "<MNEMO_EMBED_URL>",
        "MNEMO_EMBED_MODEL": "<MNEMO_EMBED_MODEL>"
      }
    }
  }
}
~/.cursor/mcp.json
{
  "mcpServers": {
    "mnemo": {
      "command": "uvx",
      "args": [
        "agora-mnemo==1.24.2"
      ],
      "env": {
        "MNEMO_PATH": "<MNEMO_PATH>",
        "MNEMO_ECHO_GUARD": "<MNEMO_ECHO_GUARD>",
        "MNEMO_EMBED_URL": "<MNEMO_EMBED_URL>",
        "MNEMO_EMBED_MODEL": "<MNEMO_EMBED_MODEL>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "mnemo": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "agora-mnemo==1.24.2"
      ],
      "env": {
        "MNEMO_PATH": "<MNEMO_PATH>",
        "MNEMO_ECHO_GUARD": "<MNEMO_ECHO_GUARD>",
        "MNEMO_EMBED_URL": "<MNEMO_EMBED_URL>",
        "MNEMO_EMBED_MODEL": "<MNEMO_EMBED_MODEL>"
      }
    }
  }
}

Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.

Tools

This server runs locally, so its tools are listed by your MCP client once it starts.

Environment variables

NameDescription
MNEMO_PATH
Optional		Path to the JSON memory file the server persists to (defaults to ./mnemo_memory.json).
MNEMO_ECHO_GUARD
Optional		1 (default) blocks a restated retired value from resurrecting a corrected fact; 0 = legacy keyed supersession.
MNEMO_EMBED_URL
Optional		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
Optional		Embedding model id used with MNEMO_EMBED_URL (default: text-embedding-3-small; for Ollama use e.g. nomic-embed-text).

Details

Package[email protected] (PYPI, stdio)
First published20 Jul 2026
Last updated20 Jul 2026
Registry nameio.github.DanceNitra/mnemo

More ai and media servers See all

  • bv7x strategy agents

    Find bv7x prediction agents on Robinhood Chain by market; quote their sealed calls, sold via x402.

  • Chronary

    Calendar API for AI agents: events, availability, Google/Microsoft setup, scheduling, and iCal.

  • Mastering

    Audio mastering for AI agents: LUFS analysis, Suno artifact cleanup, free daily master.

  • Modulos AI Governance Platform

    Evaluate Modulos (EU AI Act, ISO 42001, NIST AI RMF): capabilities, trust, comparisons. Book a demo.

  • naulon

    Check citations and retractions by DOI, and see the x402 price an AI agent pays to cite a source.

  • NextConstraint

    Your SaaS funnel's costliest leak, its fix, watchdog alerts and verdicts, from NextConstraint.

Listing data from the official MCP registry. Status and tools from NestDaddy's daily check. Browse all MCP servers.