Implements a sophisticated database design for Artificial General Intelligence (AGI) memory management, featuring multiple storage and retrieval mechanisms inspired by human cognitive architecture.
This system offers a comprehensive memory management solution tailored for AGI applications, integrating various memory types such as episodic, semantic, procedural, and strategic. It leverages vector-based storage for similarity searches and graph-based relationships for complex memory networks, enhanced by dynamic importance calculation, decay simulation, and consolidation mechanisms. The architecture also includes advanced features like memory clustering, worldview integration for belief system modeling, and detailed change tracking, all built on PostgreSQL with powerful extensions like pgvector and Apache AGE.