Agent architecture defines how AI agents are structured: from simple reflex models to complex ones with memory, reasoning, and autonomy. Layered frameworks using perception, decision, and action modules allow systems to adapt dynamically. This modular design improves reliability and allows complex tasks while maintaining flexibility.