A novel system for constructing an evolving, queryable digital representation of human intelligence, integrating knowledge, personality, and temporal context. The architecture processes multimodal inputs through a specialized pipeline that employs Atomic Fact Extraction using advanced NLP and maintains a persistent Memory-ID Architecture for perfect traceability. Extracted facts are semantically enriched, deduplicated (with >95% accuracy using cosine similarity), and used to populate a dynamic, hierarchical Knowledge Graph capable of deriving implicit relationships.

The system integrates dedicated Temporal Intelligence to manage recency and event sequences, and a Dynamic Personality Modeling engine, based on the Big Five framework, that evolves through continuous learning. Query processing utilizes a Hybrid Retrieval System (exact, semantic, and context-weighted matching) to ensure all results are temporally coherent and consistent with the modeled personality. This approach transitions from static data storage to dynamic intelligence representation, achieving sub-500ms latency for semantic retrieval across 100+ concurrent memory streams.