In this article, I will show you how to build your first AI agent from scratch using Google’s ADK (Agent Development Kit). This is an open-source framework that makes it easier to create agents, test them, add tools, and even build multi-agent systems.
AI agents are among the most exciting areas of modern AI development. They are more powerful than simple chatbots because agents can use tools, run code, search the web, plan steps, and even work together with other agents to complete complex tasks.
In this article, I will show you how to build your first AI agent from scratch using Google’s ADK (Agent Development Kit). This is an open-source framework that makes it easier to create agents, test them, add tools, and even build multi-agent systems.
The best part? You can build everything for free and in just a few minutes if you already have Python installed.
Let’s get started.
Before we begin, let’s quickly review what an AI agent actually is.
A normal AI model (like Gemini or Gemini) only gives you text answers.
An AI agent is different — it can:
You can think of an AI agent as a small “AI worker” that can do tasks instead of you.
In this tutorial, we will build a simple agent first, then upgrade it into a multi-agent system with separate agents for research, summarizing, and coordination.
To follow this tutorial, you only need:
If you have everything ready, let’s build!
First, open your terminal and create a folder:
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