This blueprint outlines the first publicly disclosed AGI architecture to integrate visual thought simulation, mnemonic-symbolic memory encoding, and internal contradiction resolution as core cognitive functions.

The system features a multimodal cognitive loop capable of constructing internal scenes, simulating abstract concepts, and self-monitoring belief networks using peg-word mnemonic grounding.

Originally published by Derek Van Derven in April 2025, this design serves as a practical, buildable roadmap for symbolic-visual AGI systems using current tools like LLMs, Neo4j, and Unity. Complete integration guide for the Multimodal Cognitive System AGI blueprint are now available on GitHub.