Enables Claude to remember information about users across chats by utilizing a local knowledge graph.
Sponsored
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
01Implements search functionality to retrieve nodes based on queries.
02Creates and manages entities with unique identifiers, types, and observations.
032 GitHub stars
04Provides API endpoints for CRUD operations on entities, relations, and observations.
05Defines directed relations between entities to represent how they interact.
06Supports integration with Claude Desktop for personalized chat experiences.
Use Cases
01Enabling AI models to maintain context across multiple interactions.
02Building knowledge graphs to represent complex relationships between entities.
03Personalizing chat interactions by remembering user preferences and history.
