Inertial Core: Saturation-Stabilized Memory for Long-Running AI Agents

A memory layer for AI agents that strictly splits fading working context from a capacity-limited core record whose entries become progressively harder to rewrite as the record fills, so an agent's foundational facts and commitments stay stable over months of operation and resist memory-poisoning attacks.