When AI Agents Lose the Plot: The Memory Architecture That Keeps Stories Straight

Standard AI models collapse under narrative complexity because they treat all context as equal, leading to hallucinations and plot inconsistencies over time. VEKTOR introduces Narrative Partitioning, a layered memory system using the MAGMA graph to organize agent knowledge into four distinct tiers—world facts, character motivations, aesthetic style, and author intent—each with specialized retrieval rules. This approach enables AI agents to maintain coherent, persistent narratives across extended interactions, addressing a critical limitation in current language models for creative and world-building applications.