servers/ memory/ memograph
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Memograph

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Graph-based memory system for LLMs with knowledge graphs and semantic search.

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Overview Installation

Overview

Memograph is a Model Context Protocol (MCP) server: Graph-based memory system for LLMs with knowledge graphs and semantic search. In practice that means any MCP-compatible AI assistant can call Memograph's tools directly — the model decides when to use them in a conversation or agent run.

It runs locally: the Python package memograph (via uvx) speaks MCP over stdio on your machine. Configuration happens through environment variables — you'll need MEMOGRAPH_VAULT. The current release is v0.4.0, published under the MIT license, with source at Indhar01/MemoGraph on GitHub.

Memograph is listed under Memory on mcp.site and works with any MCP client — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed and the rest of the ecosystem — using the install snippets below. If you maintain Memograph for Indhar01, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

PyPI package — memograph · MCP over stdio
Credentials — Requires MEMOGRAPH_VAULT
Open source — MIT license · Indhar01/MemoGraph

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "memograph": {
      "command": "uvx",
      "args": [
        "memograph"
      ],
      "env": {
        "MEMOGRAPH_VAULT": "<memograph-vault>"
      }
    }
  }
}

Requires MEMOGRAPH_VAULT

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