Your AI Agents Don't Have a Memory Problem. They have a Selection Problem

TL;DR

AI agents fail over long tasks because large context windows lead to compounding errors and noise. The article argues that the real bottleneck is selection—deciding what the model should attend to—rather than just storage capacity.