H3LIX MNEMOS-GENOME: A Continuity-Preserving Memory Architecture for Human–AI Symbiotic Intelligence

Contemporary artificial intelligence systems exhibit advanced capabilities in information processing yet remain fundamentally limited by the absence of continuity-preserving memory. Current architectures store and retrieve data but do not organize experience in a manner that sustains identity over time. Drawing on insights from cognitive science, neuroscience, and philosophy, this paper reconceptualizes memory as a structured, adaptive process that underpins continuity of self rather than a passive storage mechanism.

We introduce MNEMOS-GENOME, a novel memory architecture positioned as the backbone of H3LIX OS, which transforms raw experience into multi-layer, meaning-preserving memory objects and organizes them into a genome-like structure. In this framework, memories are encoded as functional units—bases, codons, genes, and chromosomes—subject to context-dependent regulation, compression, and expression. This enables artificial systems to maintain coherence across time, integrating past experience into present cognition in a controlled and identity-consistent manner.

The model further extends to The Citadel, a governed collective memory layer enabling the abstraction and transmission of experiential patterns across individuals while preserving privacy and contextual integrity. Together, these components establish a continuity-based paradigm of intelligence in which systems are not trained on memory as data but grown from memory as genome.

The proposed framework contributes a formal architecture for continuity-aware cognition, advancing a shift from stateless computation toward persistent, identity-bearing human–AI symbiotic systems.