Local Memory

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "name": "io.github.studiomeyer-io/local-memory-mcp",
  "description": "Persistent local AI memory. SQLite + FTS5 + vector search, knowledge graph. No cloud, no API keys.",
  "title": "Local Memory",
  "repository": {
    "url": "https://github.com/studiomeyer-io/local-memory-mcp",
    "source": "github"
  },
  "version": "2.4.3",
  "packages": [
    {
      "registryType": "npm",
      "identifier": "@studiomeyer/local-memory-mcp",
      "version": "2.4.3",
      "transport": {
        "type": "stdio"
      },
      "environmentVariables": [
        {
          "description": "Custom path for the SQLite database file",
          "format": "string",
          "name": "MEMORY_DB_PATH"
        },
        {
          "description": "Disable the local embedding pipeline (forces FTS5-only search). Useful in restricted networks where the model can't be downloaded.",
          "format": "string",
          "name": "MEMORY_EMBED_DISABLED"
        },
        {
          "description": "Override the embedding model id (defaults to Xenova/multilingual-e5-small).",
          "format": "string",
          "name": "MEMORY_EMBED_MODEL"
        },
        {
          "description": "Override the Transformers.js cache directory (defaults to the OS data dir).",
          "format": "string",
          "name": "MEMORY_EMBED_CACHE_DIR"
        }
      ]
    }
  ]
}