The reporting

ANALYSIS AI Agents and Systems

AI Agents Forget Unevenly: Preprint Maps the Heavy Tail of Agent Memory

A preprint under review argues that agent memory concentrates on a small core while rare states fall into a long tail where prediction errors accumulate, and turns that shape into a measurable audit and a token-saving controller.

• AI agents
• agent memory
• long-horizon agents
• heavy-tailed distributions
• power law
• retrieval
• context windows
• token efficiency
• preprint
• arXiv