What is gmail-labeler?

The gmail-labeler project is a code example that shows you how to build an AI assistant to automatically organize your inbox. Instead of manually creating folders and dragging emails into them, this tool lets an AI read your incoming messages and apply the appropriate labels for you. Here is how it works. The code sets up a virtual listener on your Gmail account, so that every time a new email arrives, the AI is immediately notified. The AI then reads the message, decides what category it belongs in, and uses a set of provided tools to either apply an existing label or create a brand new one before filing the email away. To make this work, the project relies on two external services. The first is a platform called Composio, which handles the tedious parts of connecting to Gmail, like managing the login process and monitoring your inbox for new messages, so the developer does not have to build that infrastructure from scratch. The second is an AI model from OpenAI that actually reads the emails and decides which labels to use. This example would be useful for a developer or founder who wants to add smart email automation to their app. For instance, a customer support team could use this approach to automatically tag incoming bug reports, billing questions, and feature requests without a human sorting them first. It serves as a practical starting point for anyone who wants an AI to react to events and take actions in real time. The project is presented as a cookbook, meaning it is a tutorial-style guide rather than a ready-to-use application. It includes all the code you need to connect a user, set up the inbox trigger, and let the AI do its work, though you will need to run it from the command line and provide your own API keys to test it.