AI agents with continuity, integrity, and explainable change.
IAM (Identity Aware Engine) gives AI agents continuity. Most agents "remember" by retrieving text; they still contradict themselves because they lack a persistent self-model that governs change. IAM introduces identity regulation: a compact identity state evolves slowly via bounded updates; experiences are stored in a hierarchical autobiographical graph; and a Narrative Constraint Engine enforces coherence by passing, adjusting, or blocking outputs that diverge from the agent's identity without explanation. In adversarial settings like debates, IAM prevents silent reversals—an agent can't flip its epistemic stance mid-argument unless it produces an explicit transition narrative. Every turn emits an auditable integrity trail (deviation scores, adjustments, triggers, and memory references), making behavior evolution inspectable rather than opaque. The result is not "smarter answers," but more reliable agents: stable across context resets, consistent under pressure, and explainable when they change.
What IAM Does
Maintains a coherent self-model over time
Prevents silent stance flips and identity drift
Produces auditable explanations for every change
What IAM Is Not
Not a retrieval layer (RAG)
Not preference tuning or prompt tricks
Not a black box
System Model
Identity is mass. Memory accretes around it.
Goals apply force. Narrative stabilizes orbit.