Researcher proposes log-based architecture for AI agents

A new paper argues that treating logs as first-class abstractions could simplify how AI agents are built and debugged. The approach suggests rethinking agent architecture around immutable event streams rather than traditional state management, potentially making agent behavior more predictable and easier to reason about.