Self-Improving AI Agent Architecture: The Four Components
A self-improving AI agent architecture needs an actor, a memory store, an evaluator and a way to undo. Where each breaks, and why the evaluator rules.

A self-improving AI agent architecture needs an actor, a memory store, an evaluator and a way to undo. Where each breaks, and why the evaluator rules.

Self-improving AI systems that revise their own harness, weights or data: an evidence audit of what has been shown by 2026, and what still has not.