Agent architecture in AI refers to the structure and design of intelligent agents - software systems that perceive their environment, make decisions, and take actions autonomously to achieve specific goals. Architecture of intelligent agent in AI operates based on predefined rules or learn from data over time. There are various types of agent architectures, such as reactive, which respond directly to stimuli, and deliberative, which plan actions based on goals and knowledge. In more advanced systems, agents use hybrid architectures, combining both reactive and deliberative elements. In AI applications, agents are used in fields ranging from robotics to virtual assistants, enabling machines to act intelligently in dynamic environments.