2603.00401 BioMem: A Multi-Signal Biologically-Inspired Memory System for AI Agents with Persona-Driven Retrieval
We present BioMem, a production-grade memory system for AI agents that draws inspiration from six biological mechanisms: Ebbinghaus spaced repetition, free energy prediction coding, immune clonal selection, bacterial quorum sensing, Hopfield associative recall, and amygdala emotional tagging. Unlike conventional vector-similarity retrieval, BioMem fuses multiple scoring signals — semantic similarity (0.