mnemo

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "name": "io.github.DanceNitra/mnemo",
  "description": "Self-correcting agent memory + MCP server: recall, supersede/revert/review corrections, erasure.",
  "repository": {
    "url": "https://github.com/DanceNitra/mnemo",
    "source": "github"
  },
  "version": "1.24.2",
  "websiteUrl": "https://pypi.org/project/agora-mnemo/",
  "packages": [
    {
      "registryType": "pypi",
      "identifier": "agora-mnemo",
      "version": "1.24.2",
      "transport": {
        "type": "stdio"
      },
      "environmentVariables": [
        {
          "description": "Path to the JSON memory file the server persists to (defaults to ./mnemo_memory.json).",
          "format": "string",
          "name": "MNEMO_PATH"
        },
        {
          "description": "1 (default) blocks a restated retired value from resurrecting a corrected fact; 0 = legacy keyed supersession.",
          "format": "string",
          "name": "MNEMO_ECHO_GUARD"
        },
        {
          "description": "Optional OpenAI-compatible /embeddings endpoint for SEMANTIC recall (e.g. http://localhost:11434/v1/embeddings for local Ollama). Unset = deterministic lexical recall.",
          "format": "string",
          "name": "MNEMO_EMBED_URL"
        },
        {
          "description": "Embedding model id used with MNEMO_EMBED_URL (default: text-embedding-3-small; for Ollama use e.g. nomic-embed-text).",
          "format": "string",
          "name": "MNEMO_EMBED_MODEL"
        }
      ]
    }
  ]
}