A robust agentic AI framework combines modules for perception, reasoning, memory, and actions. It lets AI agents perceive context, plan steps, act using tools, and self-improve through feedback loops. Scalable systems require modular design, clear messaging protocols, safety controls, and container-based orchestration to operate independently and adapt over time.