Knowledge Graph Memory Server
MCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development
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?
- Storing user information for personalized AI interactions
- Managing relationships and observations relevant to the user
- 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.
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?
- Storing user information for personalized AI interactions
- Managing relationships and observations relevant to the user
- 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.
