Gemini CLI

Gemini CLI is an open-source AI agent that brings the power of Gemini directly into your terminal. It provides lightweight access to Gemini, giving you the most direct path from your prompt to our model.

🚀 Why Gemini CLI?

• 🎯 Free tier: 60 requests/min and 1,000 requests/day with personal Google account
• 🧠 Powerful Gemini 2.5 Pro: Access to 1M token context window
• 🔧 Built-in tools: Google Search grounding, file operations, shell commands, web fetching
• 🔌 Extensible: MCP (Model Context Protocol) support for custom integrations
• 💻 Terminal-first: Designed for developers who live in the command line
• 🛡️ Open source: Apache 2.0 licensed

📦 Installation

Quick Install

Run instantly with npx

# Using npx (no installation required)
npx https://github.com/google-gemini/gemini-cli

Install globally with npm

npm install -g @google/gemini-cli

Install globally with Homebrew (macOS/Linux)

brew install gemini-cli

System Requirements

• Node.js version 20 or higher
• macOS, Linux, or Windows

Release Cadence and Tags

See Releases for more details.

Preview

New preview releases will be published each week at UTC 2359 on Tuesdays. These releases will not have been fully vetted and may contain regressions or other outstanding issues. Please help us test and install with preview tag.

npm install -g @google/gemini-cli@preview

Stable

• New stable releases will be published each week at UTC 2000 on Tuesdays, this will be the full promotion of last week's preview release + any bug fixes and validations. Use latest tag.

npm install -g @google/gemini-cli@latest

Nightly

• New releases will be published each week at UTC 0000 each day, This will be all changes from the main branch as represented at time of release. It should be assumed there are pending validations and issues. Use nightly tag.

npm install -g @google/gemini-cli@nightly

📋 Key Features

Code Understanding & Generation

• Query and edit large codebases
• Generate new apps from PDFs, images, or sketches using multimodal capabilities
• Debug issues and troubleshoot with natural language

Automation & Integration

• Automate operational tasks like querying pull requests or handling complex rebases
• Use MCP servers to connect new capabilities, including media generation with Imagen, Veo or Lyria
• Run non-interactively in scripts for workflow automation

Advanced Capabilities

• Ground your queries with built-in Google Search for real-time information
• Conversation checkpointing to save and resume complex sessions
• Custom context files (GEMINI.md) to tailor behavior for your projects

GitHub Integration

Integrate Gemini CLI directly into your GitHub workflows with Gemini CLI GitHub Action:

• Pull Request Reviews: Automated code review with contextual feedback and suggestions
• Issue Triage: Automated labeling and prioritization of GitHub issues based on content analysis
• On-demand Assistance: Mention @gemini-cli in issues and pull requests for help with debugging, explanations, or task delegation
• Custom Workflows: Build automated, scheduled and on-demand workflows tailored to your team's needs

🔐 Authentication Options

Choose the authentication method that best fits your needs:

Option 1: OAuth login (Using your Google Account)

✨ Best for: Individual developers as well as anyone who has a Gemini Code Assist License. (see quota limits and terms of service for details)

Benefits:

• Free tier: 60 requests/min and 1,000 requests/day
• Gemini 2.5 Pro with 1M token context window
• No API key management - just sign in with your Google account
• Automatic updates to latest models

Start Gemini CLI, then choose OAuth and follow the browser authentication flow when prompted

gemini

If you are using a paid Code Assist License from your organization, remember to set the Google Cloud Project

# Set your Google Cloud Project
export GOOGLE_CLOUD_PROJECT="YOUR_PROJECT_NAME"
gemini

Option 2: Gemini API Key

✨ Best for: Developers who need specific model control or paid tier access

Benefits:

• Free tier: 100 requests/day with Gemini 2.5 Pro
• Model selection: Choose specific Gemini models
• Usage-based billing: Upgrade for higher limits when needed

# Get your key from https://aistudio.google.com/apikey
export GEMINI_API_KEY="YOUR_API_KEY"
gemini

Option 3: Vertex AI

✨ Best for: Enterprise teams and production workloads

Benefits:

• Enterprise features: Advanced security and compliance
• Scalable: Higher rate limits with billing account
• Integration: Works with existing Google Cloud infrastructure

# Get your key from Google Cloud Console
export GOOGLE_API_KEY="YOUR_API_KEY"
export GOOGLE_GENAI_USE_VERTEXAI=true
gemini

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

🚀 Getting Started

Basic Usage

Start in current directory

gemini

Include multiple directories

gemini --include-directories ../lib,../docs

Use specific model

gemini -m gemini-2.5-flash

Non-interactive mode for scripts

gemini -p "Explain the architecture of this codebase"

Quick Examples

Start a new project

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

Analyze existing code

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

📚 Documentation

Getting Started

• Quickstart Guide - Get up and running quickly
• Authentication Setup - Detailed auth configuration
• Configuration Guide - Settings and customization
• Keyboard Shortcuts - Productivity tips

Core Features

• Commands Reference - All slash commands (/help, /chat, /mcp, etc.)
• Checkpointing - Save and resume conversations
• Memory Management - Using GEMINI.md context files
• Token Caching - Optimize token usage

Tools & Extensions

• Built-in Tools Overview
  • File System Operations
  • Shell Commands
  • Web Fetch & Search
  • Multi-file Operations
• MCP Server Integration - Extend with custom tools
• Custom Extensions - Build your own commands

Advanced Topics

• Architecture Overview - How Gemini CLI works
• IDE Integration - VS Code companion
• Sandboxing & Security - Safe execution environments
• Enterprise Deployment - Docker, system-wide config
• Telemetry & Monitoring - Usage tracking
• Tools API Development - Create custom tools

Configuration & Customization

• Settings Reference - All configuration options
• Theme Customization - Visual customization
• .gemini Directory - Project-specific settings
• Environment Variables

Troubleshooting & Support

• Troubleshooting Guide - Common issues and solutions
• FAQ - Quick answers
• Use /bug command to report issues directly from the CLI

Using MCP Servers

Configure MCP servers in ~/.gemini/settings.json to extend Gemini CLI with custom tools:

> @github List my open pull requests
> @slack Send a summary of today's commits to #dev channel
> @database Run a query to find inactive users

See the MCP Server Integration guide for setup instructions.

🤝 Contributing

We welcome contributions! Gemini CLI is fully open source (Apache 2.0), and we encourage the community to:

• Report bugs and suggest features
• Improve documentation
• Submit code improvements
• Share your MCP servers and extensions

See our Contributing Guide for development setup, coding standards, and how to submit pull requests.

Check our Official Roadmap for planned features and priorities.

📖 Resources

• Official Roadmap - See what's coming next
• NPM Package - Package registry
• GitHub Issues - Report bugs or request features
• Security Advisories - Security updates

Uninstall

See the Uninstall Guide for removal instructions.

📄 Legal

• License: Apache License 2.0
• Terms of Service: Terms & Privacy
• Security: Security Policy

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