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Скачать или смотреть LangGraph Advanced – Improve Multi Agent AI Systems with Custom Handoffs in Supervisor Architecture

  • GrabDuck!
  • 2025-09-02
  • 897
LangGraph Advanced – Improve Multi Agent AI Systems with Custom Handoffs in Supervisor Architecture
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Описание к видео LangGraph Advanced – Improve Multi Agent AI Systems with Custom Handoffs in Supervisor Architecture

In this video, we explore how LangGraph Advanced – Improve Multi-Agent AI Systems with Custom Handoffs in Supervisor Architecture can fix a common weakness: when supervisors pass control to sub-agents without clear task instructions.

You’ll see how to build custom handoff tools that let the supervisor share not just control but also explicit reasoning, so sub-agents know exactly what to do. Along the way we cover how this improves coordination in AI agents, prebuilt agents, Supervisor, short-term memory, custom handoffs, tools, reAct architecture, Autonomous AI Agents, and generic agent architecture.

If you’re curious about how to create AI agents, how to build AI agents, how to make AI agents, or want a practical LangGraph tutorial that builds on LangChain agents, this lesson shows a hands-on way to make multi-agent workflows smarter and more predictable.

I get it—tech content takes time to research, code, and polish. If my videos have helped you save time, avoid headaches, or just made debugging less painful, a coffee would be highly appreciated! https://buymeacoffee.com/grabduck

00:00 – Intro & Problem with Default Handoffs
04:49 – Building Custom Handoff Tool & Supervisor Update
09:17 – Demo: Passing Clear Instructions Between Agents
11:27 – Recap & Wrap-Up

🌟 Related Courses & Tutorials

• LangGraph Introduction Series – Learn how to build AI agents with LangGraph in this step‑by‑step course. From basic graphs to memory, human‑in‑the‑loop (HITL), streaming, FastAPI, and React integration — this playlist covers everything you need to create autonomous AI agents and real‑world applications.

   • LangGraph Intro  

• LangSmith Introduction Series – Master AI app monitoring and debugging with LangSmith. This tutorial series covers tracing, run types, and step‑by‑step methods for understanding, testing, and improving LLM and LangChain applications. Perfect for developers learning how to monitor AI apps and build more reliable AI agents.

   • LangSmith Intro  

💡 Explore More:
Check out the GitHub repo with all the code we used in this session: https://github.com/esurovtsev/langgra...

#aidevelopment #aiintegration #aiprogramming

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Hi, I’m Evgeny, a freelance software engineer passionate about solving complex problems with technologies like Java, Kotlin, Spring Boot, TypeScript, Python, and Node.js. On this channel, you’ll find content centered around AI, search technologies, and security, with in-depth coding sessions and theoretical discussions to enhance your knowledge. Join me as we explore the latest innovations in backend development and beyond.

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