MCP server for enabling memory for Claude through a knowledge graph
This MCP implements a persistent memory system for Claude by utilizing a local knowledge graph. It creates entities, relations, and observations to store user and contextual data, allowing Claude to recall information across multiple interactions and improve personalization.
Added on:
Created by:
Feb 13 2025
This MCP implements a persistent memory system for Claude by utilizing a local knowledge graph. It creates entities, relations, and observations to store user and contextual data, allowing Claude to recall information across multiple interactions and improve personalization.
Added on:
Created by:
Feb 13 2025
Edoardo Bezzeccheri
Featured
What is MCP server for enabling memory for Claude through a knowledge graph?
This MCP provides a knowledge graph-based memory server that allows Claude to retain and retrieve user-related information and contextual data across conversations. It models data using entities, relations, and observations, enabling dynamic updates and searches within the memory. The system supports creating, reading, and deleting entities and relations, as well as adding or removing observations. Integration with Claude through MCP setup allows the model to remember identities, preferences, goals, and relationships, thus enhancing conversational continuity and personalization.
Who will use MCP server for enabling memory for Claude through a knowledge graph?
- AI developers
- Chatbot creators
- Researchers working on conversational AI
- Businesses implementing personalized AI assistants
How to use the MCP server for enabling memory for Claude through a knowledge graph?
- Step1: Set up the MCP server with Claude via configuration
- Step2: Use the MCP API to create entities, relations, and observations in the knowledge graph
- Step3: Retrieve memory data at the start of each interaction by querying the graph
- Step4: During conversations, update the memory with new observations or relations
- Step5: Use search and open nodes functions to access relevant stored information
MCP server for enabling memory for Claude through a knowledge graph's Core Features & Benefits
The Core Features
- create_entities
- create_relations
- add_observations
- delete_entities
- delete_observations
- delete_relations
- read_graph
- search_nodes
- open_nodes
The Benefits
- Enables persistent and personalized AI interactions
- Supports dynamic knowledge updates
- Improves contextual understanding and memory recall
MCP server for enabling memory for Claude through a knowledge graph's Main Use Cases & Applications
- Personalized AI assistants with memory of user preferences and history
- Knowledge management for AI-driven customer support
- Research on long-term conversational context retention
FAQs of MCP server for enabling memory for Claude through a knowledge graph
Developer
- edobez
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