CPersona

io.github.Cloto-dev/cpersona

Persistent AI memory in one SQLite file: 3-layer hybrid search, confidence scoring, 29 tools.

Connect this server

Add this to your MCP client config — claude_desktop_config.json (Claude Desktop) or .cursor/mcp.json (Cursor).Suits: Claude Desktop · Cursor.

{
  "mcpServers": {
    "cpersona": {
      "command": "uvx",
      "args": [
        "cpersona"
      ],
      "env": {
        "CPERSONA_DB_PATH": "data/cpersona.db",
        "CPERSONA_EMBEDDING_MODE": "none",
        "CPERSONA_RECALL_MODE": "rrf"
      }
    }
  }
}
Environment variables
  • CPERSONA_DB_PATHSQLite database path. Defaults to data/cpersona.db, which follows the client's working directory — set it to an absolute path to keep one memory across sessions.
  • CPERSONA_EMBEDDING_MODEEmbedding mode: 'http' to use an embedding server for vector search, 'none' for lexical layers only.
  • CPERSONA_RECALL_MODERecall fusion strategy: 'rrf' (default), 'rsf', or 'cascade'.

A starting point — check the repository for exact arguments and setup. Restart your client after editing the config.

Category
Developer Tools
Version
2.5.3
Registry
active
Published
7/30/2026
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