Researcher proposes logs as a foundation for AI agent architecture

A new paper argues that structured logs can serve as the core mechanism for building AI agents, replacing traditional state management approaches. The idea centers on treating an agent's decision history and outputs as a queryable log, potentially offering simpler debugging, auditability, and modularity for builders working on autonomous systems.