This repository contains the Gemini CLI, a command-line AI workflow tool that connects to your tools, understands your code and accelerates your workflows.

With the Gemini CLI you can:

• Query and edit large codebases in and beyond Gemini's 1M token context window.
• Generate new apps from PDFs or sketches, using Gemini's multimodal capabilities.
• Automate operational tasks, like querying pull requests or handling complex rebases.
• Use tools and MCP servers to connect new capabilities, including media generation with Imagen, Veo or Lyria
• Ground your queries with the Google Search tool, built in to Gemini.

1. Prerequisites: Ensure you have Node.js version 18 or higher installed.

2. Run the CLI: Execute the following command in your terminal:

   npx https://github.com/google-gemini/gemini-cli

   Or install it with:

   npm install -g @google/gemini-cli
   gemini

3. Pick a color theme

4. Authenticate: When prompted, sign in with your personal Google account. This will grant you up to 60 model requests per minute and 1,000 model requests per day using Gemini 2.5 Pro.

You are now ready to use the Gemini CLI!

If you need to use a specific model or require a higher request capacity, you can use an API key:

1. Generate a key from Google AI Studio.

2. Set it as an environment variable in your terminal. Replace YOUR_API_KEY with your generated key.

   export GEMINI_API_KEY="YOUR_API_KEY"

For other authentication methods, including Google Workspace accounts, see the authentication guide.

Once the CLI is running, you can start interacting with Gemini from your shell.

You can start a project from a new directory:

cd new-project/
gemini
> Write me a Gemini Discord bot that answers questions using a FAQ.md file I will provide

Or work with an existing project:

git clone https://github.com/google-gemini/gemini-cli
cd gemini-cli
gemini
> Give me a summary of all of the changes that went in yesterday

• Learn how to contribute to or build from the source.
• Explore the available CLI Commands.
• If you encounter any issues, review the Troubleshooting guide.
• For more comprehensive documentation, see the full documentation.
• Take a look at some popular tasks for more inspiration.

Start by cding into an existing or newly-cloned repository and running gemini.

> Describe the main pieces of this system's architecture.

> What security mechanisms are in place?

> Implement a first draft for GitHub issue #123.

> Help me migrate this codebase to the latest version of Java. Start with a plan.

Use MCP servers to integrate your local system tools with your enterprise collaboration suite.

> Make me a slide deck showing the git history from the last 7 days, grouped by feature and team member.

> Make a full-screen web app for a wall display to show our most interacted-with GitHub issues.

> Convert all the images in this directory to png, and rename them to use dates from the exif data.

> Organise my PDF invoices by month of expenditure.

This project leverages the Gemini APIs to provide AI capabilities. For details on the terms of service governing the Gemini API, please refer to the terms for the access mechanism you are using:

• Gemini API key
• Gemini Code Assist
• Vertex AI