How I build a Social Media Manager using LangGraph AI Agents скачать в хорошем качестве

How I build a Social Media Manager using LangGraph AI Agents

In this tutorial, I’ll walk you through building a social media manager AI agent using LangGraph, showcasing its ability to track content ideas, manage deadlines, and adapt dynamically based on user feedback. This hands-on video will demonstrate how to design and deploy an intelligent virtual assistant with long-term memory, capable of evolving and collaborating proactively. 👩‍🏫 What You'll Learn: How to structure memory using LangGraph and Pydantic schemas Building graphs with nodes, edges, and state in LangGraph Leveraging Trustcall for structured memory updates and monitoring Practical implementation of an AI agent with long-term memory By the end of this video, you’ll have the knowledge to build an AI social media manager that simplifies your workflow and adapts to your needs! 📚 Resources: Google Colab with the complete code: https://colab.research.google.com/dri... Medium article with the full tutorial:   / how-i-build-a-social-media-manager-using-a...   My previous tutorials on LangGraph:    • Master AI Agent Development with LangGraph...   &    • The Ultimate AI Agent Guide: How I Built &...   💡 Connect With Me: Subscribe to my newsletter and get access to my Resource Hub: https://www.pairrot.eu/subscribe Instagram: @lorevanoudenhove.ai LinkedIn: https://www.linkedin.com/company/pair... &   / lorevanoudenhove   Threads: @lorevanoudenhove.ai Medium: @lorevanoudenhove 🚀 Visit My Website: https://www.pairrot.eu/ 🤖 Tags: AI, LangGraph, SocialMediaManager, AIagents, LongTermMemory Don’t forget to like this video, subscribe to my channel, and share your thoughts in the comments! 🎥 Timestamps: 0:00 Intro 1:05 What is LangGraph 2:30 LongTerm Memory 5:37 Coding Pydantic Memory Components 10:01 Trustcall Memory Tracking 18:56 Defining Tool Nodes & Edges 32:26 Compiling the Graph 34:49 Testing our AI Agent