On May 16, 2026, a new framework for AI agent design was published on ArXiv, emphasizing the importance of both cognitive function and execution topology.
This framework seeks to address the limitations found in current models that predominantly focus on execution topology, which describes how data flows within systems.
By integrating cognitive function into the design patterns, the authors aim to provide a more comprehensive understanding of LLM-based agent architectures.