Agentic Loop

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What is Agentic Loop?

An agentic loop is a computational pattern where an agent continuously interacts with its environment through a cycle of perception, planning, and action. The agent observes its surroundings, decides on a course of action based on its goals and current state, executes that action, and then observes the results to inform its next decision. This iterative process allows the agent to learn, adapt, and pursue its objectives in a dynamic and potentially unpredictable environment.

Free resources to learn Agentic Loop

More in stage 1: Introduction

Agentic Loop: common questions

Can I learn Agentic Loop in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Agentic Loop in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this Agentic Loop tutorial for beginners?

It is lesson 4 of 109 in the free Claude Code roadmap, in stage 1, Introduction. If you are new to Claude Code, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.

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