Knowledge Graph Memory
Manages an enhanced knowledge graph-based persistent memory system enabling AI models like Claude to retain information across conversations.
Acerca de
This tool serves as an enhanced knowledge graph-based persistent memory server, designed to significantly improve AI models' ability to remember and leverage information across chat sessions. It is an advanced fork of the official Model Context Protocol memory server, incorporating four phases of enhancements. These improvements provide AI with capabilities such as automatic timestamps for better temporal context, date range searching, comprehensive graph statistics, a robust tags system, importance categorization, and multi-format export options (JSON, CSV, GraphML) with filtering. By storing entities, relations, and observations, it empowers AI to maintain a rich, evolving understanding of users and their interactions, facilitating more personalized and coherent experiences.
Características Principales
- Date range search and advanced filtering by text, tags, importance, and dates
- 0 GitHub stars
- Comprehensive graph statistics including counts, types, and temporal data
- Multi-format export (JSON, CSV, GraphML) with filtering capabilities
- Automatic timestamps (createdAt, lastModified) for all entities and relations
- Tags system and importance categorization (0-10 scale) for better organization
Casos de Uso
- Providing persistent memory for conversational AI models like Claude
- Enhancing AI chat personalization by retaining user-specific context and preferences
- Managing and analyzing structured knowledge graphs for AI applications
