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.