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Exo-Graph

dasein108bydasein108
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Database Management
API Development
Data Science & ML

Externalizes LLM memory into a persistent, searchable knowledge graph, enhancing AI systems with advanced semantic and temporal intelligence.

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Exo-Graph creates an advanced knowledge graph engine that addresses the ephemeral memory limitations of traditional LLMs. It functions as an 'exocortex' by externalizing LLM memory into a Neo4j database, ensuring knowledge persistence across sessions. The tool captures rich context through a Subject-Relationship-Object triplet structure, enhanced with metadata like summary, confidence, and temporal data. This enables powerful capabilities such as hybrid semantic and graph search, automated entity standardization, intelligent negation handling, and temporal conflict resolution, providing AI systems with a scalable, connected, and evolving memory.

Key Features

01Persistent Knowledge Storage in Neo4j
02Hybrid Semantic and Graph Search Capabilities
03Temporal Intelligence and Conflict Resolution
04Automated Entity and Relationship Standardization
050 GitHub stars
06Model Context Protocol (MCP) Integration for AI Assistants

Use Cases

01Building and querying domain-specific knowledge graphs from natural language input
02Tracking and resolving changes in relationships and facts over time
03Providing persistent, searchable memory for AI assistants and LLMs