Persistent Memory MCP Server

Local knowledge graph-based persistent memory server with entity-relation architecture for sophisticated data management

Persistent Memory MCP Server 🔗

The Persistent Memory integration for the Model Context Protocol (MCP) server implements a sophisticated local knowledge graph architecture. This server provides a robust framework for managing interconnected data through entities, relations, and observations, offering powerful features for enhanced data organization and retrieval.

Features

• Entity Management: Create and manage fundamental nodes within the knowledge graph, each with unique identifiers for precise data organization.
• Relation Handling: Define and maintain connections between entities, supporting complex data relationships and dependencies.
• Observation System: Add and remove specific data points connected to entities for granular data visualization and retrieval.
• Comprehensive API: Access extensive API functionalities for seamless entity and relation management, including graph search capabilities.
• Claude Desktop Integration: Seamlessly integrate with Claude Desktop for enhanced chat personalization and interaction efficiency.

Use Cases

The MCP server can be utilized in various data management scenarios:

• Enhanced Data Management: Leverage sophisticated entity-relation architecture for complex data organization and retrieval.
• Research and Analysis: Support detailed insights through interconnected data sets and pattern recognition.
• AI System Backend: Serve as a foundation for AI systems requiring structured knowledge graphs.
• Personalized Interaction: Enable customized chat experiences through Claude Desktop integration.
• Dynamic Data Structures: Adapt to evolving data needs with flexible observation management.

This server is available under the MIT License, allowing users to customize and extend its capabilities according to their specific requirements.