Building Your First AI Agent with LangGraph

Follow this simple step-by-step guide to start learning about LangGraph.

LangGraph framework for AI | Image generated by AI. Google Gemini, 2025. https://gemini.google.com/

Introduction

We have been talking a lot about AI agents. They are revolutionizing how we interact with technology, offering the potential to automate complex tasks and provide personalized assistance.

If you follow me long enough, you will see that I love working with Agno, but this time I want to bring LangGraph to the conversation.

LangGraph aims to simplify the creation of robust and customizable AI agents. This article will guide you through building a basic single agent using this framework.

Requirements

Before we dive in, a quick setup:

• LangChain and LangGraph: Install them using pip: pip install langchain langgraph langchain-openai langchain-community
• You’ll need API key for Groq
• SerpAPI API Key, which you can get one here
• You’ll also need to set them as environment variables, creating a .env file in your project folder GROQ_API_KEY="YOUR_GROQ_API_KEY" and SERPAPI_API_KEY="YOUR_SERPAPI_API_KEY".

Core Concepts of LangGraph