WhatsApp AI Agent Tutorial 2: Dissecting Ava's Brain | Intro to LangGraph & LangGraph Studio скачать в хорошем качестве

WhatsApp AI Agent Tutorial 2: Dissecting Ava's Brain | Intro to LangGraph & LangGraph Studio

In this tutorial, we dive into Lesson where you’ll learn how Ava’s advanced brain is built using LangGraph—the state‑of‑the‑art, graph‑based orchestration framework for AI agents. We’ll show you how nodes, edges, and persistent state work together to enable Ava to process multimodal inputs (text, voice, and images) and make intelligent decisions in real time. Inspired by the dynamic world of sci‑fi AI, this lesson provides a detailed code walkthrough of Ava’s architecture, complete with a live demonstration in LangGraph Studio. Discover how features like conditional routing, state management, and context injection (which simulates human-like activities) make Ava far more than a basic WhatsApp chatbot—she’s a sophisticated WhatsApp agent ready for real-world applications. By the end of this lesson, you’ll understand the core concepts behind LangGraph and gain the skills to build your own advanced AI companion. Let’s get started! 📌 Links: • Miguel’s Newsletter: https://theneuralmaze.substack.com • Project GitHub repo: https://github.com/neural-maze/ai-com... • LangGraph Academy' Intro to LangGraph: https://academy.langchain.com/courses... • How to connect a local agent to LangGraph Studio: https://langchain-ai.github.io/langgr... Chapters: 00:00 Ex Machina Face Swap Magic 00:25 Face Swap Intro 00:51 Lesson 2 Intro 01:45 Agentic Frameworks 02:35 No-Code / Low-Code Framworks: n8n, make, flowise, rivet 03:42 Code Frameworks: LangGraph, smolagents, crewai... 04:25 Why LangGraph? 05:35 Ava's Brain Diagram 08:00 "stateful" graph 08:35 Code Overview: nodes file 10:20 Code Overview: router node 12:13 Code Overview: state class 13:05 Code Overview: context injection node 14:24 Code Overview: graph file 14:24 Code Overview: graph file 15:28 LangGraph Studio Overview 18:00 How to set up LangGraph Studio? 19:25 Wanna know more? 20:15 Real-World Applications