LangGraph: Advanced Multi Modular ReAct Agents Workflow w Tools Memory LangChain & LangSmith Part 1

Опубликовано: 11 Март 2026
на канале: HTMLFiveDev
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*LangGraph: Advanced Multi-Modular ReAct Agents Workflow w/ Tools, Memory, LangChain & LangSmith Part 1*

In this video, we kick off an exciting hands-on project to build a *ReAct Agent Orchestration Workflow* using **LangGraph**, **LangChain**, and **LangSmith**! 🚀 This is Part 1 of a comprehensive series designed to teach you how to master modular ReAct agents with cutting-edge tools and workflows.

Here's what you'll learn in this video:
1️⃣ *Setup API Keys & LangSmith:*
Start by configuring your environment and setting up the tools required to create and visualize LangGraph projects.

2️⃣ *Create the Basic Graph:*
Build a foundational LangGraph that acts as the backbone of your ReAct Agent Workflow.

3️⃣ *Add a Prompt Node to the Graph:*
Learn how to create and integrate a prompt node into your graph, which serves as the starting point for the agent's actions.

4️⃣ *Build a Weather ReAct Agent w/ Tools:*
Create a specialized Weather ReAct Agent that uses external tools to fetch real-time weather data and perform reasoning tasks.

5️⃣ *Make the Weather ReAct Agent Modular:*
Refactor the Weather Agent into a modular design, making it reusable and extensible for future workflows.

6️⃣ *Test the Graph w/ Prompt Node & ReAct Agent:*
Finally, see everything in action by testing your graph, combining the power of the Prompt Node and the Weather ReAct Agent in a seamless workflow.

Why Watch?
*Visual Learning:* Understand the architecture through clear step-by-step guidance and project-based learning.
*Practical Tools:* Explore LangGraph's capabilities to build and orchestrate advanced agents.
*Cutting-Edge Techniques:* Dive deep into modular designs, external tools, and memory integration for AI workflows.

By the end of this video, you’ll have a strong foundation for building advanced multi-modular ReAct agents with LangGraph and be ready for Part 2, where we’ll enhance the workflow further with *memory* and *conditional logic.* 💡

➡️ *Subscribe* to stay updated with the next parts of this exciting series! Don’t forget to leave a like if you found the tutorial helpful. 😊

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