How I build a Social Media Manager using LangGraph AI Agents

Описание: 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:

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

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🎥 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