--- title: The AI Agent Loop Explained | daily.dev description: An explanation of the core agentic loop pattern underlying AI agents: starting from a system prompt and goal, a language model reasons, decides to call a tool,... canonical: https://daily.dev/posts/the-ai-agent-loop-explained-owpw6fwss twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: The AI Agent Loop Explained | daily.dev og:description: An explanation of the core agentic loop pattern underlying AI agents: starting from a system prompt and goal, a language model reasons, decides to call a tool,... og:url: https://daily.dev/posts/the-ai-agent-loop-explained-owpw6fwss og:image: https://api.daily.dev/og/posts/Owpw6FwsS.png og:image:alt: The AI Agent Loop Explained og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # The AI Agent Loop Explained **[Tech With Tim](https://daily.dev/sources/TechWithTim)** · 1 min read · 1 upvotes · 0 comments ## Summary An explanation of the core agentic loop pattern underlying AI agents: starting from a system prompt and goal, a language model reasons, decides to call a tool, receives the result back, then observes and decides the next action (another tool call, checking memory, or responding). This think-act-observe cycle repeats until the goal is achieved, forming what is called an agentic loop combining an LLM, tool calls, and context. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is an agentic loop in AI agent systems? An agentic loop is the repeating cycle an AI agent follows to reach a goal: it starts with a system prompt and goal, the model decides whether to call a tool, the tool executes and returns a result, the model observes that result, and then decides what to do next—call another tool, check memory, or respond. This think-act-observe cycle repeats until the model determines the goal is met. _Building agent loops from scratch gets easier with daily.dev's take on real agent architecture patterns._ ## Similar posts on daily.dev - [The Agent Loop: How AI Goes From Answering Questions to Doing Things](https://daily.dev/posts/the-agent-loop-how-ai-goes-from-answering-questions-to-doing-things-5vyyqtwve) · ByteByteGo · 2 upvotes · 0 comments - [AI Agents Explained](https://daily.dev/posts/ai-agents-explained-9hh27gy7n) · Trevor Lasn · 2 upvotes · 0 comments - [The Agentic Loop: Three loops in a trench coat](https://daily.dev/posts/the-agentic-loop-three-loops-in-a-trench-coat-jg81mltng) · Hacker News · 0 upvotes · 0 comments - [1. From Answer to Outcome](https://daily.dev/posts/1-from-answer-to-outcome-oprmxy0yl) · Planet Python · 0 upvotes · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents) [View this post on daily.dev](https://daily.dev/posts/the-ai-agent-loop-explained-owpw6fwss) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"The AI Agent Loop Explained","url":"https://daily.dev/posts/the-ai-agent-loop-explained-owpw6fwss","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/the-ai-agent-loop-explained-owpw6fwss"},"datePublished":"2026-08-13T12:18:52.597Z","dateModified":"2026-09-13T19:44:10.492Z","description":"An explanation of the core agentic loop pattern underlying AI agents: starting from a system prompt and goal, a language model reasons, decides to call a tool,...","image":"https://i.ytimg.com/vi/854E1jORFI0/sddefault.jpg","thumbnailUrl":"https://i.ytimg.com/vi/854E1jORFI0/sddefault.jpg","isAccessibleForFree":true,"articleSection":"Tech With Tim","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Tech With Tim","logo":"https://media.daily.dev/image/upload/s--6vVIDfU0--/f_auto/v1711726146/logos/TechWithTim","url":"https://daily.dev/sources/TechWithTim"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/the-ai-agent-loop-explained-owpw6fwss","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,ai-agents","timeRequired":"PT1M","video":{"@type":"VideoObject","name":"The AI Agent Loop Explained","description":"An explanation of the core agentic loop pattern underlying AI agents: starting from a system prompt and goal, a language model reasons, decides to call a tool,...","thumbnailUrl":"https://i.ytimg.com/vi/854E1jORFI0/sddefault.jpg","uploadDate":"2026-08-13T12:18:52.597Z","duration":"PT1M","url":"https://api.daily.dev/r/Owpw6FwsS","embedUrl":"https://www.youtube.com/embed/854E1jORFI0"}} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Tech With Tim","item":"https://daily.dev/sources/TechWithTim"},{"@type":"ListItem","position":3,"name":"The AI Agent Loop Explained"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/the-ai-agent-loop-explained-owpw6fwss#faq","mainEntity":[{"@type":"Question","name":"What is an agentic loop in AI agent systems?","acceptedAnswer":{"@type":"Answer","text":"An agentic loop is the repeating cycle an AI agent follows to reach a goal: it starts with a system prompt and goal, the model decides whether to call a tool, the tool executes and returns a result, the model observes that result, and then decides what to do next—call another tool, check memory, or respond. 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