🧠 Unified Cognitive Architecture

Paradigm Shift

Traditional AI agents are stateless and suffer from severe session amnesia. When a session terminates, all context evaporates. Conventional RAG addresses this with flat vector similarity, but fails to capture:

1. Temporal Reality: Facts change over time without invalidating old history.
2. Relational Ontologies: Complex networks of dependency (Entity A depends on Entity B).
3. Human Inspection: Binary vector stores hide context from the human operator.

The Tri-Tier Memory Engine

1. Working & Core Memory: Letta-style memory blocks (00-Core/) loaded directly into active agent context.
2. Associative Semantic Memory: Semantic_Vector_Embeddings providing fuzzy semantic matching across knowledge notes.
3. Relational Temporal Memory: Bi-Temporal_Knowledge_Graphs tracking dynamic facts and relationship edges over time.

Ground Truth Mirror

The entire system mirrors into Obsidian_Vault, allowing the operator to visually inspect, edit, and traverse memory through graph views and interactive canvases.