--- title: Why managed agents are the next big thing in agent building description: LangChain's CEO Harrison Chase reflects on the evolution of agent building, tracing it from early LLM frameworks (LangChain, ChatGPT, AutoGPT) through more... canonical: https://daily.dev/posts/why-managed-agents-are-the-next-big-thing-in-agent-building-ylwkkdtwl twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Why managed agents are the next big thing in agent building | daily.dev og:description: LangChain's CEO Harrison Chase reflects on the evolution of agent building, tracing it from early LLM frameworks (LangChain, ChatGPT, AutoGPT) through more... og:url: https://daily.dev/posts/why-managed-agents-are-the-next-big-thing-in-agent-building-ylwkkdtwl og:image: https://api.daily.dev/og/posts/YlWkKDTwl.png og:image:alt: Why managed agents are the next big thing in agent building 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. # Why managed agents are the next big thing in agent building **[LangChain](https://daily.dev/sources/langchain)** · 6 min read · 0 upvotes · 0 comments ## Summary LangChain's CEO Harrison Chase reflects on the evolution of agent building, tracing it from early LLM frameworks (LangChain, ChatGPT, AutoGPT) through more mature frameworks (LangGraph, Google ADK, Vercel AI SDK) to today's 'managed agent' era. He argues that running production agents requires bundling a harness (like Deep Agents) with infrastructure covering runtime, streaming UX, sandboxes, context management, evaluation, memory, and auth. He positions LangChain's newly launched Managed Deep Agents alongside competing offerings like Fleet, Claude Managed Agents, and Vercel's Eve, describing Managed Deep Agents as a developer-focused bundle combining the Deep Agents harness with LangSmith infrastructure (Deployments, Agent Server streaming, Sandboxes, Context Hub, Harbor evaluations, memory, and built-in auth). ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is LangChain's Managed Deep Agents product and what does it include? Managed Deep Agents is LangChain's managed platform for building, running, and deploying production AI agents, built on the Deep Agents harness. It bundles LangSmith Deployments for runtime, LangSmith Agent Server streaming and Channels for UX, LangSmith Sandboxes for untrusted code execution, Context Hub for context management, Harbor for evaluation, opinionated memory on top of Deep Agents, and built-in authentication. _Developers evaluating agent infrastructure options can track new launches like this one on daily.dev._ ### What are the main infrastructure challenges when running an AI agent harness in production? Running an agent harness in production requires solving for runtime reliability and resumability after failures, streaming events back to a UI, sandboxing for untrusted code execution, managing context such as instructions and skills, evaluating changes to prompts and tools, defining agent memory, and handling authentication and authorization for both callers and external system calls the agent makes. _daily.dev helps teams weighing these production agent tradeoffs stay current on emerging solutions._ ### How does LangChain's Managed Deep Agents differ from Claude Managed Agents and Vercel's Eve? Managed Deep Agents builds on the Deep Agents harness and represents agents as files, similar to Vercel's Eve, but offers more configurability than LangChain's earlier no-code Fleet product, including custom middleware and custom tools as code. Claude Managed Agents is API-first and introduced a concept called 'dreaming,' relying less on filesystem-based agent definitions than the other two. _Teams comparing managed agent platforms can follow these launches side by side on daily.dev._ ## Similar posts on daily.dev - [August 2026: LangChain Newsletter — Managed Deep Agents, LLM Gateway, and More](https://daily.dev/posts/august-2026-langchain-newsletter-managed-deep-agents-llm-gateway-and-more-7cyfmn2uh) · LangChain · 0 upvotes · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#mcp](https://daily.dev/tags/mcp), [#langchain](https://daily.dev/tags/langchain) [View this post on daily.dev](https://daily.dev/posts/why-managed-agents-are-the-next-big-thing-in-agent-building-ylwkkdtwl) ```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":"Why managed agents are the next big thing in agent building","url":"https://daily.dev/posts/why-managed-agents-are-the-next-big-thing-in-agent-building-ylwkkdtwl","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/why-managed-agents-are-the-next-big-thing-in-agent-building-ylwkkdtwl"},"datePublished":"2026-08-13T00:01:42.562Z","dateModified":"2026-08-13T18:17:31.619Z","description":"LangChain's CEO Harrison Chase reflects on the evolution of agent building, tracing it from early LLM frameworks (LangChain, ChatGPT, AutoGPT) through more...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/26fcd7d38fecda9bc2c1f0af35b6a947?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/26fcd7d38fecda9bc2c1f0af35b6a947?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"LangChain","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":"LangChain","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/0f4f2629e0724a849823f8cd0d913e13","url":"https://daily.dev/sources/langchain"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/why-managed-agents-are-the-next-big-thing-in-agent-building-ylwkkdtwl","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,ai-agents,mcp,langchain","timeRequired":"PT6M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"LangChain","item":"https://daily.dev/sources/langchain"},{"@type":"ListItem","position":3,"name":"Why managed agents are the next big thing in agent building"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/why-managed-agents-are-the-next-big-thing-in-agent-building-ylwkkdtwl#faq","mainEntity":[{"@type":"Question","name":"What is LangChain's Managed Deep Agents product and what does it include?","acceptedAnswer":{"@type":"Answer","text":"Managed Deep Agents is LangChain's managed platform for building, running, and deploying production AI agents, built on the Deep Agents harness. 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