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gemini-cli

Google's own terminal coding agent — Gemini models only, and personal Google sign-in no longer reaches it

OfficialApache-2.0
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28 Aug 2026

What is gemini-cli?

Google's own agent for the terminal: it reads a repository, edits files, runs shell commands, and can ground an answer in a live Google Search without extra setup. A read-only plan mode drafts the work before anything is written, a policy file settles in advance which tools may run, and one extension can install MCP servers, commands, subagents, skills and hooks together. It talks only to Gemini models, so it is a poor fit if you expect to switch providers or work offline — and since 18 June 2026 a personal Google sign-in no longer reaches it, leaving an API key, Vertex AI, or a Code Assist Standard or Enterprise licence.

What can you do with gemini-cli?

  • Point it at a repo and give it standing instructions — It starts in the working directory, and --include-directories ../lib,../docs pulls in sibling folders. Standing instructions live in GEMINI.md files — one in your home directory, any in the workspace and its parent folders, plus more picked up mid-task the first time a tool touches a directory — and every file found is concatenated and sent with each prompt, not just at startup.
  • Make it plan before it touches anything — Plan mode is a read-only state whose only write is a Markdown plan you review and edit; Shift+Tab cycles between it, the default confirm-every-step mode, and auto-edit. Policy rules can settle allow, deny or ask per tool ahead of time, and an administrator's rules outrank a user's.
  • Roll back a turn, or the whole session — /rewind, or Esc twice, lists earlier turns and offers to undo the chat, the agent's file edits, or both. A separate checkpointing setting goes further and snapshots the project into a shadow Git repository before each edit.
  • Look things up mid-task — Google Search grounding and a page-fetching tool are built in, so the agent can check current library documentation or an unfamiliar error while it works instead of reasoning from what the model memorised.
  • Install a whole toolset in one command — gemini extensions install <github url> adds an extension that bundles MCP servers, custom slash commands, subagents, agent skills and hooks together — one install rather than many edits to settings.json, which matters when a team shares a setup.
  • Run it from a script or a pull request — gemini -p "…" --output-format json returns the reply, token counts and any error as one object, stream-json emits events line by line for long jobs, and Google's run-gemini-cli Action wires the same binary into PR review and issue triage.

Before you choose gemini-cli

  • A personal Google account stopped working as a sign-in route on 18 June 2026, yet the README and setup guide shipped in the 0.55 line still recommend it, so newcomers follow the docs into a dead login.Reported in#27998
  • Only Google's own Gemini models are supported: as of the 0.55 line there is no route to an OpenAI-compatible endpoint or to Ollama, and a locally run model can only be used to make routing decisions.Reported in#5938

Star history

17 Aug to 28 Aug · +190

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Frequently asked questions

Is gemini-cli free for commercial use?

gemini-cli is released under the Apache-2.0 licence — OSI-approved open source, which permits commercial use.

How can gemini-cli be deployed?

gemini-cli is available as Runs locally.

Documentation

Reproduced from the google-gemini/gemini-cli README, published under Apache-2.0. Read the original ↗

Gemini CLI

Gemini CLI CI Gemini CLI E2E (Chained) View Code Wiki

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

See Gemini CLI installation, execution, and releases for recommended system specifications and a detailed installation guide.

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

Install globally with MacPorts (macOS)

sudo port install gemini-cli

Install with Anaconda (for restricted environments)

# Create and activate a new environment
conda create -y -n gemini_env -c conda-forge nodejs
conda activate gemini_env

# Install Gemini CLI globally via npm (inside the environment)
npm install -g @google/gemini-cli

Release Channels

See Releases for more details.

Preview

New preview releases will be published each week at UTC 23:59 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 20:00 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 00:00. 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: Sign in with Google (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 3 models 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 Sign in with Google 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_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

Core Features

Tools & Extensions

Advanced Topics

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

Uninstall

See the Uninstall Guide for removal instructions.