Agent Loop
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What is Agent Loop?
An agent loop is the cycle that lets an AI agent keep working toward a goal. First, the agent gathers fresh data from its tools, sensors, or memory. Next, it updates its internal state and decides what to do, often by running a planning or reasoning step. Then it carries out the chosen action, such as calling an API, writing to a file, or sending a message. After acting, it checks the result and stores new information. The loop starts again with the latest data, so the agent can adjust to changes and improve over time. This fast repeat of observe–decide–act gives the agent its power.
Free resources to learn Agent Loop
- ArticleWhat is an Agent Loop?
- ArticleLet's Build your Own Agentic Loop
More in stage 13: Agent Loop
Agent Loop: common questions
Can I learn Agent 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 Agent 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 Agent Loop tutorial for beginners?
It is lesson 13 of 101 in the free AI Agents roadmap, in stage 13, Agent Loop. If you are new to AI Agents, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.