--- title: How to Build Your First Multi-Agent AI System in Python... description: A hands-on tutorial building a multi-agent AI study guide generator in two ways: plain Python and LangGraph. Three specialized agents (planner, teacher, quiz... canonical: https://daily.dev/posts/how-to-build-your-first-multi-agent-ai-system-in-python-and-langgraph-pz0gokapb twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: How to Build Your First Multi-Agent AI System in Python and LangGraph | daily.dev og:description: A hands-on tutorial building a multi-agent AI study guide generator in two ways: plain Python and LangGraph. Three specialized agents (planner, teacher, quiz... og:url: https://daily.dev/posts/how-to-build-your-first-multi-agent-ai-system-in-python-and-langgraph-pz0gokapb og:image: https://api.daily.dev/og/posts/pz0gOkapB.png og:image:alt: How to Build Your First Multi-Agent AI System in Python and LangGraph 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. # How to Build Your First Multi-Agent AI System in Python and LangGraph **[freeCodeCamp](https://daily.dev/sources/freecodecamp)** · 12 min read · 3 upvotes · 0 comments ## Summary A hands-on tutorial building a multi-agent AI study guide generator in two ways: plain Python and LangGraph. Three specialized agents (planner, teacher, quiz writer) run locally via Ollama and Qwen. The plain Python version shows minimal orchestration code; the LangGraph version introduces nodes, edges, and shared state. The tutorial also covers common multi-agent patterns like parallel specialists, orchestrator-subagent, supervisor/router, human-in-the-loop, and review loops. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### When should I use plain Python instead of LangGraph for coordinating multiple LLM agents? Plain Python is often the more practical choice for a simple, linear, fixed-sequence workflow, since coordinating agents with functions requires no framework and keeps things lightweight. LangGraph becomes the better fit once the workflow needs shared state, branching, loops, or more complex agent coordination beyond a fixed pipeline order. _daily.dev surfaces framework tradeoff discussions for developers deciding between plain code and orchestration tools like LangGraph._ ### What are common multi-agent architecture patterns beyond a simple sequential pipeline? Besides the sequential pipeline where one specialist hands work to the next in fixed order, common patterns include parallel specialists working on the same input with merged outputs, an orchestrator-subagent setup where a top-level agent delegates and combines results, a supervisor/router that decides which specialist handles a request, human-in-the-loop review before continuing, and review/refinement loops where one agent checks or improves another's output. _developers designing agent workflows compare these multi-agent patterns before picking an architecture on daily.dev._ ## Similar posts on daily.dev - [Mastering AI Agents with LangGraph: Build Production-Ready Multi-Agent Systems](https://daily.dev/posts/mastering-ai-agents-with-langgraph-build-production-ready-multi-agent-systems-q67rjbwgf) · Medium · 0 upvotes · 0 comments - [How to Develop AI Agents Using LangGraph: A Practical Guide](https://daily.dev/posts/how-to-develop-ai-agents-using-langgraph-a-practical-guide-gbublyg7z) · freeCodeCamp · 3 upvotes · 0 comments - [Building Agentic Workflows in Python with LangGraph](https://daily.dev/posts/building-agentic-workflows-in-python-with-langgraph-k9bojzede) · Machine Learning Mastery · 1 upvotes · 0 comments --- Tags: [#python](https://daily.dev/tags/python), [#ai-agents](https://daily.dev/tags/ai-agents), [#langchain](https://daily.dev/tags/langchain), [#ollama](https://daily.dev/tags/ollama), [#langgraph](https://daily.dev/tags/langgraph) [View this post on daily.dev](https://daily.dev/posts/how-to-build-your-first-multi-agent-ai-system-in-python-and-langgraph-pz0gokapb) ```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":"How to Build Your First Multi-Agent AI System in Python and LangGraph","url":"https://daily.dev/posts/how-to-build-your-first-multi-agent-ai-system-in-python-and-langgraph-pz0gokapb","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/how-to-build-your-first-multi-agent-ai-system-in-python-and-langgraph-pz0gokapb"},"datePublished":"2026-07-14T23:36:37.434Z","dateModified":"2026-09-13T18:50:53.416Z","description":"A hands-on tutorial building a multi-agent AI study guide generator in two ways: plain Python and LangGraph. 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