M

MCP Memory Py

An implementation of a persistent memory server based on knowledge graphs, allowing Claude to remember user information across different chats. It provides functions for creating, querying, updating, and deleting entities, relationships, and observations, and supports local JSON storage.
2 points
10

Core Functions

The server can transform conversation content into a structured knowledge graph and provide persistent storage and real - time query functions.

Main Features

1. Real - time context understanding 2. Knowledge graph construction and storage 3. Persistent memory ability 4. Support for multi - turn conversations 5. Scalable knowledge base

Application Scenarios

The Knowledge Graph Memory Server is widely used in fields such as intelligent assistants, professional consultations, and educational tutoring, helping systems better understand and remember context information.
Context UnderstandingIt can accurately parse entities, relationships, and intents in conversations and build corresponding knowledge graphs.
Persistent StorageTransform conversation content into a structured knowledge graph for persistent storage to ensure information is not lost.
Real - time QuerySupports real - time query functions based on the knowledge graph to help the system quickly retrieve relevant information.
ScalabilitySupports custom entity and relationship types for easy expansion according to specific needs.
Install Dependencies
Initialize Configuration
Start the Service
How can I view the knowledge graph data?
Which databases are supported?
Official Documentation
Detailed installation guide and usage instructions.
Community Support
Join our Discord community to exchange experiences with developers.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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