--- title: Multi-step AI agents: what they are & how they work description: Multi-step AI agents differ from single-step chatbots by chaining actions through a think-act-observe (ReAct) loop, enabling complex workflows like querying... canonical: https://daily.dev/posts/multi-step-ai-agents-what-they-are-how-they-work-yw9gffm3f twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Multi-step AI agents: what they are & how they work | daily.dev og:description: Multi-step AI agents differ from single-step chatbots by chaining actions through a think-act-observe (ReAct) loop, enabling complex workflows like querying... og:url: https://daily.dev/posts/multi-step-ai-agents-what-they-are-how-they-work-yw9gffm3f og:image: https://api.daily.dev/og/posts/yw9gFFM3F.png og:image:alt: Multi-step AI agents: what they are & how they work 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. # Multi-step AI agents: what they are & how they work **[Redis](https://daily.dev/sources/redislabs)** · 9 min read · 0 upvotes · 0 comments ## Summary Multi-step AI agents differ from single-step chatbots by chaining actions through a think-act-observe (ReAct) loop, enabling complex workflows like querying APIs, drafting tickets, and following up autonomously. Key challenges in production include context poisoning, distraction, confusion, and clash — collectively causing 'context rot' where model accuracy degrades as context grows. Structural and system design issues account for 41.77% of agent failures across frameworks, not raw model limitations. Reliable agents require a well-designed data layer separating short-term memory, long-term memory, and operational state, with low-latency access and freshness guarantees. Redis Iris is presented as a unified context engine addressing these needs. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Long-Horizon AI Agents: Memory & State Infrastructure](https://daily.dev/posts/long-horizon-ai-agents-memory-state-infrastructure-es5bsxtbj) · Redis · 0 upvotes · 0 comments - [What is an AI Agent?](https://daily.dev/posts/what-is-an-ai-agent--qgfumuz3e) · Josh Hornby · 0 upvotes · 0 comments - [AI Agents Explained](https://daily.dev/posts/ai-agents-explained-9hh27gy7n) · Trevor Lasn · 2 upvotes · 0 comments - [AI Reasoning Explained: Why Context Matters](https://daily.dev/posts/ai-reasoning-explained-why-context-matters-kfgm8uclg) · Redis · 1 upvotes · 0 comments - [How to build an AI agent that actually works](https://daily.dev/posts/how-to-build-an-ai-agent-that-actually-works-2rhdwrzec) · InfoWorld · 1 upvotes · 1 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#redis](https://daily.dev/tags/redis), [#context-engineering](https://daily.dev/tags/context-engineering) [View this post on daily.dev](https://daily.dev/posts/multi-step-ai-agents-what-they-are-how-they-work-yw9gffm3f) ```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":"Multi-step AI agents: what they are & how they work","url":"https://daily.dev/posts/multi-step-ai-agents-what-they-are-how-they-work-yw9gffm3f","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/multi-step-ai-agents-what-they-are-how-they-work-yw9gffm3f"},"datePublished":"2026-07-14T18:09:15.242Z","dateModified":"2026-07-15T12:36:10.121Z","description":"Multi-step AI agents differ from single-step chatbots by chaining actions through a think-act-observe (ReAct) loop, enabling complex workflows like querying...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/488d54ef4d04a186e4b96855b378328b?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/488d54ef4d04a186e4b96855b378328b?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Redis","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":"Redis","logo":"https://media.daily.dev/image/upload/s--hr1KV229--/f_auto/v1729434313/logos/redis.png","url":"https://daily.dev/sources/redislabs"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/multi-step-ai-agents-what-they-are-how-they-work-yw9gffm3f","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,ai-agents,redis,context-engineering","timeRequired":"PT9M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Redis","item":"https://daily.dev/sources/redislabs"},{"@type":"ListItem","position":3,"name":"Multi-step AI agents: what they are & how they work"}]} ```