Mcp Knowledge Graph

what is Knowledge Graph Memory Server?

The Knowledge Graph Memory Server (MCP) enables persistent memory for the Claude AI by utilizing a local knowledge graph that allows customization of memory paths.

how to use Knowledge Graph Memory Server?

To use it, you need to set up the Clara desktop configuration, specify a memory path if desired, and utilize the designated API functions for managing entities and relations within the knowledge graph.

key features of Knowledge Graph Memory Server?

• Persistent memory through a customizable local knowledge graph
• Ability to create, read, update, and delete entities and relations
• Supports comprehensive search capabilities across nodes
• Interaction management through customizable prompts for Claude AI integration

use cases of Knowledge Graph Memory Server?

1. Storing user information for personalized AI interactions
2. Managing relationships and observations relevant to the user
3. Enhancing AI memory functionality to improve user experiences over multiple sessions

FAQ from Knowledge Graph Memory Server?

• How does the server store information?

Information is stored as entities, each with a unique identifier and a list of observations in a directed relationship format.

• Can I specify where the memory data is saved?

Yes, you can customize the memory path in the configuration settings.

• Is it necessary to include all details when creating an entity?

No, only a unique name and entity type are required; observations can be added later.