AI Agent Explained Simply – Brain, Tools, Memory & Execution in One Flow

Understand how an AI agent works using simple components like brain (LLM), tools, memory, planner, and executor. Learn how it takes inputs, makes decisions, and performs real-world actions step by step. Explore how logs, latency, and feedback loops improve agent performance. Perfect for beginners to visualize end-to-end AI agent architecture in a practical way. Build smarter automation using AI agents in DevOps, cloud, and real-world use cases.