AGI Memory
Implements a sophisticated database design for Artificial General Intelligence (AGI) memory management, featuring multiple storage and retrieval mechanisms inspired by human cognitive architecture.
소개
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.
주요 기능
- Multiple memory types (Episodic, Semantic, Procedural, Strategic)
- Vector embeddings for similarity-based memory retrieval
- Graph-based memory relationships with Apache AGE integration
- Dynamic calculation of memory importance and relevance
- Memory decay simulation and consolidation mechanisms
- 141 GitHub stars
사용 사례
- Developing cognitive architectures for Artificial General Intelligence applications
- Implementing human-like memory systems with diverse storage and retrieval patterns
- Managing complex knowledge bases that require temporal context, relationships, and belief integration