optimized-memory-mcp-server

Name: optimized-memory-mcp-server
Author: AgentWong

@AgentWong

Repository

About optimized-memory-mcp-server

No overview available yet

#optimized-memory #mcp-server #knowledge-graph

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "optimized-memory-mcp-server": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp/memory",
        "-f",
        "src/memory/Dockerfile",
        "."
      ]
    }
  }
}

Tools

Create multiple new entities in the knowledge graph

Create multiple new relations between entities

Add new observations to existing entities

Remove entities and their relations

Remove specific observations from entities

Remove specific relations from the graph

Read the entire knowledge graph

Search for nodes based on query

Retrieve specific nodes by name

Overview

What is optimized-memory-mcp-server?

A fork of a Python Memory MCP Server that uses SQLite to provide persistent memory via a knowledge graph. It lets Claude remember information about the user across chats and is designed to test and demonstrate AI workflows and prompt design.

How to use optimized-memory-mcp-server?

Add it to your Claude Desktop configuration (claude_desktop_config.json) using either Docker (docker run -i --rm mcp/memory) or NPX (npx -y @modelcontextprotocol/server-memory). Optionally, customize the included system prompt to control how memories are created and retrieved. The server can also be built locally with Docker.

Key features of optimized-memory-mcp-server?

Persistent memory via local knowledge

Comments

Basic information

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