--- title: What are AI Agents? | daily.dev description: AI agents differ from chatbots by autonomously pursuing goals through a perceive-reason-act-observe loop, using tools like code execution, API calls, and file... canonical: https://daily.dev/posts/what-are-ai-agents--svkhxnvve twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: What are AI Agents? | daily.dev og:description: AI agents differ from chatbots by autonomously pursuing goals through a perceive-reason-act-observe loop, using tools like code execution, API calls, and file... og:url: https://daily.dev/posts/what-are-ai-agents--svkhxnvve og:image: https://api.daily.dev/og/posts/svKHxNvve.png og:image:alt: What are AI Agents? 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. # What are AI Agents? **[Docker](https://daily.dev/sources/docker)** · 10 min read · 1 upvotes · 0 comments ## Summary AI agents differ from chatbots by autonomously pursuing goals through a perceive-reason-act-observe loop, using tools like code execution, API calls, and file operations. Three core properties enable this: autonomy, tool use, and memory. While 60% of organizations already run agents in production, 40% cite security and compliance as blockers to scaling. The key insight is that agent safety is an infrastructure problem, not a model problem — isolation, scoped tool access, and sandboxed environments (like Docker Sandboxes with microVMs) determine the blast radius when something goes wrong. Docker Sandboxes and AI Governance are presented as solutions for running agents safely at team scale. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What's the difference between an AI agent and a chatbot? A chatbot responds to a single prompt, while an agent pursues a goal across multiple steps by planning, calling tools, observing results, and adjusting its next action without waiting for approval each time. The three properties that separate an agent from a smarter chatbot are autonomy, tool use, and memory across steps. _Comparing agent frameworks and safety approaches gets easier when discussions are gathered in one place on daily.dev._ ### Why is the execution environment considered the riskiest part of running an AI agent? An agent that goes wrong can delete files, leak secrets, or push a broken change, unlike a chatbot that only gives a wrong answer. The autonomy that makes agents productive also widens the blast radius when something misfires, so containment decisions like where the agent runs, which tools it can call, and whose credentials it uses matter as much as model choice. _Developers weighing agent containment strategies can track sandboxing approaches on daily.dev._ ### Why do isolated sandbox environments work better than permission prompts for agent safety? Permission prompts feel like control but mostly train users to click allow, whereas a disposable isolated environment lets an agent install packages, edit files, and run services while staying away from the host machine, credentials, and other projects. If something goes wrong, the environment is thrown away and a new one started, giving both speed and safety. _Teams designing agent guardrails can follow sandboxing and isolation patterns on daily.dev._ ## Similar posts on daily.dev - [What are AI Agents?](https://daily.dev/posts/what-are-ai-agents--4jflfneiq) · ByteByteGo · 0 upvotes · 0 comments - [Everything You Need to Know Before Building AI Agents](https://daily.dev/posts/everything-you-need-to-know-before-building-ai-agents-ube2oh8qr) · BigData Boutique blog · 13 upvotes · 0 comments - [How AI Agents Are Actually Learning to Get Things Done For You](https://daily.dev/posts/how-ai-agents-are-actually-learning-to-get-things-done-for-you-veh0q1jgh) · Code Like A Girl · 3 upvotes · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#docker](https://daily.dev/tags/docker), [#ai-security](https://daily.dev/tags/ai-security) [View this post on daily.dev](https://daily.dev/posts/what-are-ai-agents--svkhxnvve) ```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":"What are AI Agents?","url":"https://daily.dev/posts/what-are-ai-agents--svkhxnvve","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/what-are-ai-agents--svkhxnvve"},"datePublished":"2026-07-16T13:03:35.747Z","dateModified":"2026-09-14T06:38:25.368Z","description":"AI agents differ from chatbots by autonomously pursuing goals through a perceive-reason-act-observe loop, using tools like code execution, API calls, and file...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/7be8a0db8ab91f7126d8d6f3da0e7f7f?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/7be8a0db8ab91f7126d8d6f3da0e7f7f?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Docker","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":"Docker","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/8a1022bebfc04a7d824c309bd3686787","url":"https://daily.dev/sources/docker"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/what-are-ai-agents--svkhxnvve","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,ai-agents,docker,ai-security","timeRequired":"PT10M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Docker","item":"https://daily.dev/sources/docker"},{"@type":"ListItem","position":3,"name":"What are AI Agents?"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/what-are-ai-agents--svkhxnvve#faq","mainEntity":[{"@type":"Question","name":"What's the difference between an AI agent and a chatbot?","acceptedAnswer":{"@type":"Answer","text":"A chatbot responds to a single prompt, while an agent pursues a goal across multiple steps by planning, calling tools, observing results, and adjusting its next action without waiting for approval each time. The three properties that separate an agent from a smarter chatbot are autonomy, tool use, and memory across steps. Comparing agent frameworks and safety approaches gets easier when discussions are gathered in one place on daily.dev."}},{"@type":"Question","name":"Why is the execution environment considered the riskiest part of running an AI agent?","acceptedAnswer":{"@type":"Answer","text":"An agent that goes wrong can delete files, leak secrets, or push a broken change, unlike a chatbot that only gives a wrong answer. The autonomy that makes agents productive also widens the blast radius when something misfires, so containment decisions like where the agent runs, which tools it can call, and whose credentials it uses matter as much as model choice. Developers weighing agent containment strategies can track sandboxing approaches on daily.dev."}},{"@type":"Question","name":"Why do isolated sandbox environments work better than permission prompts for agent safety?","acceptedAnswer":{"@type":"Answer","text":"Permission prompts feel like control but mostly train users to click allow, whereas a disposable isolated environment lets an agent install packages, edit files, and run services while staying away from the host machine, credentials, and other projects. If something goes wrong, the environment is thrown away and a new one started, giving both speed and safety. Teams designing agent guardrails can follow sandboxing and isolation patterns on daily.dev."}}]} ```