Knowledge Graph Memory
Creatededobez
Enables Claude to remember information about users across chats by utilizing a local knowledge graph.
About
This Python implementation provides a persistent memory solution for Claude using a local knowledge graph, allowing it to retain user information across multiple chat sessions. It leverages entities, relations, and observations to represent and store knowledge. The server exposes an API for creating, updating, deleting, and retrieving information from the knowledge graph, enhancing Claude's ability to personalize interactions and maintain context.
Key Features
- Implements search functionality to retrieve nodes based on queries.
- Creates and manages entities with unique identifiers, types, and observations.
- 2 GitHub stars
- Provides API endpoints for CRUD operations on entities, relations, and observations.
- Defines directed relations between entities to represent how they interact.
- Supports integration with Claude Desktop for personalized chat experiences.
Use Cases
- Enabling AI models to maintain context across multiple interactions.
- Building knowledge graphs to represent complex relationships between entities.
- Personalizing chat interactions by remembering user preferences and history.
