HERA-IDRAM:Hardware-Enforced Redundant Array for Intelligent Decision Redundant AI Memory

We propose a novel computational architecture for stabilizing artificial cognitive systems using a dual-processor design connected through a shared, parity-synchronized working memory layer ("HERA-IDRAM"). This mechanism reduces representational drift, maintains coherent internal state, and enables identity persistence in large-scale, model-based agents. The approach is implementable with existing virtual machines, standard hardware, and software-controlled memory mirroring. The system introduces an engineered approach inspired by data-integrity RAID systems: two processors—an Actor and an Observer—synchronized through parity-checked RAM that preserves cognitive continuity