mcp-memory

fellowgeek/mcp-memory

★ 0 stars Python AI/LLM Updated 3d ago

An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents.

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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-memory": {
      "command": "uvx",
      "args": [
        "mcp-memory"
      ]
    }
  }
}

Or install with pip: pip install mcp-memory

README Excerpt

**MCP-Memory** is a Model Context Protocol (MCP) server that equips AI agents (such as Claude Desktop, Cursor, Antigravity, Windsurf, or Codex) with persistent, long-term memory capabilities. Memory records are formatted using the [**Open Knowledge Format (OKF v0.2)**](https://github.com/GoogleCloudPlatform/knowledge-catalog/blob/main/okf/SPEC.md) standard and indexed with a local **SQLite** instance (supporting FTS5 full-text search) for fast key-value lookups, tag filtering, and content search

Tools (4)

MCP_MEMORY_DB_PATHMCP_MEMORY_DIRMCP_MEMORY_PROJECT_ROOTstable

mcp-memory

Quick Install

README Excerpt

Tools (4)

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