Agentic AI architecture defines how AI agents interact with models, memory, tools, data sources, APIs, and other agents to complete tasks. A well-designed architecture can include planning, reasoning, memory, tool use, orchestration, and feedback components. Understanding these layers helps businesses design agentic systems that can handle complex workflows while remaining scalable and manageable.
Educate. Empower. Act. The mission of Project WET is to reach children, parents, educators and communities of the world with water education.
