Codebase understanding and editing
Query large codebases in natural language, inspect project context, summarize changes, troubleshoot issues, and propose or apply edits across local files.
TOOL PROFILE TOOLAI
Gemini CLI
An open-source AI agent for understanding code, automating tasks, and building workflows from your terminal.
THE BIG PICTURE
About Gemini CLI
Gemini CLI brings Gemini models into a local terminal session, using project context to answer questions, edit files, execute commands, and help with development workflows. It can work across large codebases, manage sessions, and connect to additional tools through MCP servers.
A CLOSER LOOK
See it in action
Explore product screens and published examples. Open any image for a closer look.
WHAT YOU CAN DO
A toolkit worth exploring
Get to know the capabilities. Find your own way to use them.
Multimodal application generation
Use images, PDFs, or sketches as inputs when generating new applications, allowing visual references and documents to contribute to development prompts.
Shell command execution
Run system commands from the agent workflow, with documentation covering safe execution, trusted folders, sandboxing, and policy controls.
Headless scripting
Run Gemini CLI non-interactively for automation, with text, structured JSON, and newline-delimited stream-JSON output formats for scripts.
MCP server integration
Connect remote agents and custom tools through MCP servers, extending workflows to services such as GitHub, Slack, databases, and media generation.
Persistent project context
Use GEMINI.md files, memory settings, ignore patterns, and configuration controls to supply durable instructions and exclude selected project content.
Session checkpoints and rewind
Create automatic session snapshots, resume conversations, and rewind or replay work when exploring complex changes or recovering from an unsuccessful step.
Model and workflow customization
Select models, configure generation parameters, create custom commands, use extensions and agent skills, and integrate the CLI with an IDE.
MADE FOR YOUR WORKFLOW
Where it fits into your day
Understand an unfamiliar repository
Start Gemini CLI in a cloned project and ask for an architectural summary, important modules, recent changes, or explanations of specific implementation decisions.
Automate repository operations
Combine headless mode with structured output to summarize pull requests, inspect test results, prepare routine reports, or coordinate repeatable development tasks.
Prototype from reference material
Provide a sketch, image, or PDF and ask Gemini CLI to create an initial application structure that can then be refined within the local project.
YOUR FIRST STEPS
From first click to first result
Install the package
Run npx @google/gemini-cli for an immediate session, or install globally with npm install -g @google/gemini-cli.
Choose authentication
Sign in with Google for an eligible organizational Code Assist account, configure GEMINI_API_KEY for API access, or configure Vertex AI variables.
Open a project
Change into a repository or working directory and start gemini; use --include-directories when additional local directories are relevant.
Provide context and instructions
Use prompts, GEMINI.md project context, .geminiignore patterns, and model-selection options to define the task and available information.
Automate or extend the workflow
Use --output-format json or stream-json for scripts, and configure MCP servers, extensions, hooks, or custom commands when additional tools are needed.
TAKE A LOOK AROUND
Get a feel for the real thing
Explore the tool's demo or video to see its interface and workflow.
PLAN YOUR NEXT STEP
A plan for the way you work
The software is open source under the Apache License 2.0. Access depends on authentication: Google sign-in for eligible Code Assist accounts, Gemini API keys with usage-based billing, or Vertex AI with a billing account. Free individual access and Google AI Pro or Ultra access moved to Antigravity CLI on June 18, 2026.
PLAN
Code Assist authentication
Google sign-in for Gemini Code Assist Standard or Enterprise licenses and Code Assist for GitHub on Google Cloud.
- Organizational authentication
- Google Cloud project configuration
PLAN
Gemini API key
Use a Gemini API key when specific model selection or paid API access is required.
Usage-based billing
- Model selection
- API-based access
PLAN
Vertex AI
Use Google Cloud credentials and Vertex AI settings for enterprise-oriented access and integration with existing Google Cloud infrastructure.
Billing account required
- Google Cloud integration
- Enterprise security and compliance features
Prices, usage limits and terms can change. Confirm the latest details on the tool's official website before subscribing.
What is Gemini CLI?
It is an open-source terminal agent that brings Gemini models into local development environments for code understanding, editing, automation, and tool-connected workflows.
How can it be installed?
The documented options include npx, global npm installation, Homebrew on macOS or Linux, MacPorts on macOS, and npm inside an Anaconda environment.
Can Gemini CLI run in scripts?
Yes. Headless mode supports non-interactive execution, structured JSON output, and stream-JSON events for automation and monitoring.
Can it access external services?
Yes. MCP server configuration can connect Gemini CLI to custom tools and remote agents, including integrations for repositories, messaging, databases, and media generation.
What replaced Gemini CLI for free or Google One access?
Free individual access and Google AI Pro or Ultra access moved to Antigravity CLI on June 18, 2026. Gemini CLI remains intended for enterprise Code Assist workflows and supported paid credentials.
Is Gemini CLI optimized for Gemini 4 Argon?
No. Gemini CLI is not optimized for Gemini 4 Argon; Antigravity is identified for that model generation.
FROM THE COMMUNITY
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YOUR NEXT DISCOVERY
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MAKE YOUR NEXT MOVE
Ready to explore Gemini CLI?
Visit the official website to explore the latest features and get started.
Gemini CLIgeminicli.com
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