In 2025, AI agents are becoming more common and building one can seem complicated for beginners. This guide simplifies the process, showing you how to create your first AI agent in just 30 minutes, even if you’re new to the concept. You’ll learn what AI agents are and get step-by-step instructions using CopilotKit and LangGraph. This includes real-world examples with source code to help you understand better. The guide covers core components of AI agents and clarifies misconceptions, making it accessible for everyone interested in leveraging AI technology in their applications. Whether you aim to streamline tasks or enhance user experiences, this guide is your starting point.
In 2025, artificial intelligence (AI) agents are on the rise. These smart assistants can take on various tasks simply by following your instructions. Creating your own AI agent may seem daunting with the numerous frameworks and concepts involved, but it can be done in just 30 minutes, even if you’re a beginner.
What You Will Learn
In this guide, we’ll cover:
- What AI agents are
- How to build your first agent using CopilotKit and LangGraph
- Real-world examples and source code
Understanding AI Agents
AI agents are intelligent assistants that process input from their environment and take action accordingly. They have the ability to plan, make decisions, and improve over time. There are two main types:
- Reactive Agents: Respond to immediate inputs.
- Proactive Agents: Plan for long-term goals.
The typical structure of an AI agent includes key components like perception, reasoning, action, learning, communication interface, memory, and profiling.
Building Your AI Agent
Now that you understand what AI agents are, it’s time to learn how to build one:
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Clone the Starter Repository: Start by cloning the CoAgents starter repository from GitHub.
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Add Necessary API Keys: Create a .env file for your OpenAI and LangSmith API keys.
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Start Your LangGraph Agent: Run the LangGraph CLI to launch your agent locally.
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Connect to CopilotKit: Use Copilot Cloud for a smoother connection with your LangGraph agent.
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Set Up Your CopilotKit Provider: Wrap the CopilotKit component around your application’s core parts.
- Implement the UI: Use CopilotKit’s UI components to create a chat interaction with your agent.
Real-World Examples
Once your agent is set up, explore different applications you can build:
- AI Travel App: A smart travel planner that can provide trip details.
- Research Canvas: A virtual research assistant.
- Perplexity Clone: A clone of a popular query assistant platform.
Conclusion
Building AI agents doesn’t have to be complex. With the right tools and understanding, you can create your own and explore various applications. Check out the provided examples and source code to start your journey today!
Tags: AI, Artificial Intelligence, AI Agents, Machine Learning, CopilotKit, LangGraph
What is an AI agent?
An AI agent is a computer program designed to perform tasks or make decisions automatically. It learns from data and can help with things like answering questions or completing tasks quickly.
How long does it take to build an AI agent?
In this course, you’ll learn to build your first AI agent in just 30 minutes. It’s fast and exciting, even for beginners!
Do I need any coding skills to build an AI agent?
No, you don’t need coding skills. The course is designed for beginners, and you will be guided through each step clearly.
What tools or software will I use?
You will use simple tools that can be accessed online. The course will provide everything you need to get started without any complicated downloads.
Can I use my AI agent for real-life tasks?
Yes, once you build your AI agent, you can customize it for tasks like scheduling, answering FAQs, or even providing recommendations, making it useful in daily life.
