Optimized Memory MCP Server
@AgentWong
Basic information
About Optimized Memory MCP Server
No overview available yet
Optimized Memory MCP Server 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",
"."
]
}
}
}Optimized Memory MCP Server tools
9Create 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
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