Gemini CLI

Gemini CLI Screenshot

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.

Learn all about Gemini CLI in our documentation.

🚀 Why Gemini CLI?

🎯 Free tier: 60 requests/min and 1,000 requests/day with personal Google account.
🧠 Powerful Gemini 3 models: Access to improved reasoning and 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

Pre-requisites before installation

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

Quick Install

Run instantly with npx

# Using npx (no installation required)
npx @google/gemini-cli

Install globally with npm

npm install -g @google/gemini-cli

Install globally with Homebrew (macOS/Linux)

brew install gemini-cli

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 day at UTC 0000. 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:

✨ 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 3 models with 1M token context window
No API key management - just sign in with your Google account
Automatic updates to latest models

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_ID"
gemini

Option 2: Gemini API Key

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

Benefits:

Free tier: 1000 requests/day with Gemini 3 (mix of flash and 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

Get a simple text response:

gemini -p "Explain the architecture of this codebase"

For more advanced scripting, including how to parse JSON and handle errors, use the --output-format json flag to get structured output:

gemini -p "Explain the architecture of this codebase" --output-format json

For real-time event streaming (useful for monitoring long-running operations), use --output-format stream-json to get newline-delimited JSON events:

gemini -p "Run tests and deploy" --output-format stream-json

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, etc).
Custom Commands - Create your own reusable commands.
Context Files (GEMINI.md) - Provide persistent context to Gemini CLI.
Checkpointing - Save and resume conversations.
Token Caching - Optimize token usage.

Tools & Extensions

Built-in Tools Overview
MCP Server Integration - Extend with custom tools.
Custom Extensions - Build and share your own commands.

Advanced Topics

Headless Mode (Scripting) - Use Gemini CLI in automated workflows.
Architecture Overview - How Gemini CLI works.
IDE Integration - VS Code companion.
Sandboxing & Security - Safe execution environments.
Trusted Folders - Control execution policies by folder.
Enterprise Guide - Deploy and manage in a corporate environment.
Telemetry & Monitoring - Usage tracking.
Tools API Development - Create custom tools.
Local development - Local development tooling.

Troubleshooting & Support

Troubleshooting Guide - Common issues and solutions.
FAQ - Frequently asked questions.
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.
Changelog - See recent notable updates.
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

Built with ❤️ by Google and the open source community

Gemini CLI

Gemini CLI Screenshot

Learn all about Gemini CLI in our documentation.

🚀 Why Gemini CLI?

🎯 Free tier: 60 requests/min and 1,000 requests/day with personal Google account.
🧠 Powerful Gemini 3 models: Access to improved reasoning and 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

Pre-requisites before installation

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

Quick Install

Run instantly with npx

# Using npx (no installation required)
npx @google/gemini-cli

Install globally with npm

npm install -g @google/gemini-cli

Install globally with Homebrew (macOS/Linux)

brew install gemini-cli

Release Cadence and Tags

See Releases for more details.

Preview

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 day at UTC 0000. 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:

✨ 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 3 models with 1M token context window
No API key management - just sign in with your Google account
Automatic updates to latest models

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_ID"
gemini

Option 2: Gemini API Key

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

Benefits:

Free tier: 1000 requests/day with Gemini 3 (mix of flash and 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

Get a simple text response:

gemini -p "Explain the architecture of this codebase"

For more advanced scripting, including how to parse JSON and handle errors, use the --output-format json flag to get structured output:

gemini -p "Explain the architecture of this codebase" --output-format json

For real-time event streaming (useful for monitoring long-running operations), use --output-format stream-json to get newline-delimited JSON events:

gemini -p "Run tests and deploy" --output-format stream-json

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, etc).
Custom Commands - Create your own reusable commands.
Context Files (GEMINI.md) - Provide persistent context to Gemini CLI.
Checkpointing - Save and resume conversations.
Token Caching - Optimize token usage.

Tools & Extensions

Built-in Tools Overview
MCP Server Integration - Extend with custom tools.
Custom Extensions - Build and share your own commands.

Advanced Topics

Headless Mode (Scripting) - Use Gemini CLI in automated workflows.
Architecture Overview - How Gemini CLI works.
IDE Integration - VS Code companion.
Sandboxing & Security - Safe execution environments.
Trusted Folders - Control execution policies by folder.
Enterprise Guide - Deploy and manage in a corporate environment.
Telemetry & Monitoring - Usage tracking.
Tools API Development - Create custom tools.
Local development - Local development tooling.

Troubleshooting & Support

Troubleshooting Guide - Common issues and solutions.
FAQ - Frequently asked questions.
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.
Changelog - See recent notable updates.
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

Built with ❤️ by Google and the open source community

gemini-cli

更新履歴

Gemini CLI

🚀 Why Gemini CLI?

📦 Installation

Pre-requisites before installation

Quick Install

Run instantly with npx

Install globally with npm

Install globally with Homebrew (macOS/Linux)

Release Cadence and Tags

Preview

Stable

Nightly

📋 Key Features

Code Understanding & Generation

Automation & Integration

Advanced Capabilities

GitHub Integration

🔐 Authentication Options

Option 1: Login with Google (OAuth login using your Google Account)

Start Gemini CLI, then choose Login with Google and follow the browser authentication flow when prompted

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

Option 2: Gemini API Key

Option 3: Vertex AI

🚀 Getting Started

Basic Usage

Start in current directory

Include multiple directories

Use specific model

Non-interactive mode for scripts

Quick Examples

Start a new project

Analyze existing code

📚 Documentation

Getting Started

Core Features

Tools & Extensions

Advanced Topics

Troubleshooting & Support

Using MCP Servers

🤝 Contributing

📖 Resources

Uninstall

📄 Legal

更新履歴

Gemini CLI

🚀 Why Gemini CLI?

📦 Installation

Pre-requisites before installation

Quick Install

Run instantly with npx

Install globally with npm

Install globally with Homebrew (macOS/Linux)

Release Cadence and Tags

Preview

Stable

Nightly

📋 Key Features

Code Understanding & Generation

Automation & Integration

Advanced Capabilities

GitHub Integration

🔐 Authentication Options

Option 1: Login with Google (OAuth login using your Google Account)

Start Gemini CLI, then choose Login with Google and follow the browser authentication flow when prompted

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

Option 2: Gemini API Key

Option 3: Vertex AI

🚀 Getting Started

Basic Usage

Start in current directory

Include multiple directories

Use specific model

Non-interactive mode for scripts

Quick Examples

Start a new project

Analyze existing code

📚 Documentation

Getting Started