What is build-ai-agents-free?

This repository is a written tutorial, not a library or application. It teaches complete beginners how to build a working AI agent using only free tools, with no credit card and no paid API key required at any point. The guide explains the difference between a chatbot and an agent first. A chatbot just answers a question and stops. An agent runs in a loop: it plans what to do, takes an action such as calling a tool, looks at the result, and decides what to do next, repeating until the task is actually finished. The stack it uses is langchain and langgraph, an open source framework for wiring up an agent's reasoning loop and connecting it to tools, paired with a free model provider. It recommends Groq, which serves open models like Llama 3.3 70B for free with a generous daily request limit, or Google's Gemini free tier as an alternative. Both give an API key without asking for payment details. The setup walks through installing Python 3.10 or newer, creating a project folder, installing langchain with its Groq connector through pip, and getting a free Groq API key, which the reader stores in a local .env file rather than pasting into their code. From there, the guide shows a complete first agent in a few lines of Python that loads the key, connects to a free Groq model, and answers a question, then builds on it by adding tools such as a free web search and a custom function, so the agent can look things up instead of only guessing. The project includes runnable example scripts in its src folder that match each step of the tutorial, along with a short screen recording demonstrating the setup. It is written in Python and aimed squarely at people with no prior coding or AI experience.