LangGraph Intro – Managing Memory Collections in AI Agents with Trustcall and LangGraph

In this video, LangGraph Intro – Managing Memory Collections in AI Agents with Trustcall and LangGraph, we take long-term memory to the next level by storing and updating collections of memories instead of just a single profile. You’ll see how to use Trustcall with LangGraph to manage a list of memory items—like user preferences or behavior rules—and how to handle partial updates across multiple sessions.

Perfect if you’re exploring long-term memory, structured output, and how to build autonomous AI agents using LangGraph Studio and Trustcall. A solid step in our Building AI Agents with LangGraph series.

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! buymeacoffee.com/grabduck

00:00 – Intro & Collection-Based Memory Use Case
00:57 – Defining Directive Schema and Extracting Collections with Trustcall
03:31 – Updating Collections with Trustcall: Insert vs Update in Action
07:28 – Chatbot Update: Loading Directives and Trustcall-Based Memory Logic
09:20 – Live Demo in Studio: Chatbot Flow and Dynamic Memory Updates


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💡 Explore More:
Check out the GitHub repo with all the code we used in this session: github.com/esurovtsev/langgraph-intro/tree/feature…

#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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