S

SQLite Local AI Memory

MCP server · by cheveguerra

Databases npm v1.5.3

100% In-Process Bare-Metal Hybrid Memory Engine & MCP Server for LLMs (SQLite + Int8 Vectors).

View source ↗ Generate config for multiple servers More servers

Install

registry version 1.5.3

npm
npx -y sqlite-local-ai-memory

Setup by client

Pick your client — the config below is generated for this server (local stdio). Copy respects the “Pin version” switch above.

claude_desktop_config.json

{
  "mcpServers": {
    "sqlite-local-ai-memory": {
      "command": "npx",
      "args": [
        "-y",
        "sqlite-local-ai-memory"
      ],
      "env": {
        "GEMINI_API_KEY": "<YOUR_GEMINI_API_KEY>"
      }
    }
  }
}

Format verified against the official Claude Desktop docs ↗.

Environment variables

Defined in the server's official registry manifest. Required secrets are shown as <YOUR_…> placeholders in the configs above.

  • GEMINI_API_KEY secret — Google Gemini API key for Out-of-the-Box cloud cognitive agents and embeddings (gemini-2.5-flash-lite & gemini-embedding-001).
  • SQLITE_MEM_PATH — Optional custom path to the SQLite database file (defaults to ~/.local-ai-memory/memoria.db).

About this server

Distributed as npm, listed under Databases. Review our MCP security guide before granting access to real data.

Frequently asked questions

How do I install SQLite Local AI Memory?

Run the install command shown above, then paste the config for your client (Claude Desktop, Claude Code, Cursor, VS Code or Windsurf) into its MCP settings and restart the client.

Is SQLite Local AI Memory free to use?

The MCP server itself is free to install. The source is public on https://github.com/cheveguerra/sqlite-local-ai-memory. Any third-party service it calls may require its own API key and account.

Which clients support SQLite Local AI Memory?

Any MCP-compatible client can use it, including Claude Desktop, Claude Code, Cursor, VS Code, Windsurf and custom agents.

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