A Two-Dimensional Framework for AI Agent Design Patterns: Cognitive Function and Execution Topology

The paper proposes a two-dimensional classification for AI agent design patterns, combining cognitive function and execution topology. This new framework aims to overcome limitations of existing systems that describe LLM-based agent architectures from a single perspective.