Gemini CLI
Google's open-source command-line AI agent brings model capabilities directly to the terminal. It features built-in search grounding, file and command operations, supports collaboration via standard extension protocols and code hosting platforms, and offers 1,000 free daily requests upon personal account login.
Updated: 2026-10-26
What is Gemini CLI?
If your daily entry point is the terminal, embedding the model into the terminal is the most convenient choice. Gemini CLI is Google's open-source intelligent agent, which is officially summarized in one sentence: the shortest path from prompts to the model. It directly embeds file operations, shell commands, web scraping and search grounding, and also leaves openings for standard extension protocols. The repository is publicly available on GitHub, licensed under Apache 2.0. Installation methods range from portable execution to Homebrew, and there is an independent official documentation site.
Who is it for?
- Individual developers who want to try a terminal AI agent at zero cost.
- Automation scenarios that require scripting and non-interactive command-line execution.
- People who already log in with their Google accounts for work and don't want the hassle of managing additional API keys.
- Open-source project maintainers who want to introduce automated assistance in the PR and issue processes.
Key features
6Free Quota
Logging in with a personal Google account grants a free tier with 60 requests per minute and 1,000 requests per day.
Models and Context
Officially stated to use the Gemini 3 series models with a 1-million-token context window.
Built-in tools
Search grounding, file operations, shell commands, and web scraping are ready to use out of the box.
Standard Extension Protocol
Supports MCP, allowing you to integrate new capabilities on your own, including some generative services mentioned by the official.
Session and Project Customization
Conversation checkpoints can be saved to resume complex tasks, and custom context files are used to codify project conventions.
GitHub Integration
The supporting Action can perform PR reviews and issue triage, and also supports @mentioning it for help in issues.
How to use Gemini CLI
- The fastest way to try it out is to run it directly without installation.
- if you plan to use it long-term, install it globally via npm or Homebrew.
- The three release channels have clear differences: the preview version is updated weekly and may contain regressions, the stable version is more reliable, and the nightly version pushes the main branch content daily with the most issues.
- Do not use the nightly version for official projects.
- Logging in with an API key is a path that involves rate limits and billing considerations.
- For team or production workloads, you can evaluate Vertex AI.
- be sure to set the cloud project environment variables first.
- It's worth spending time writing custom context files to codify project conventions, which is much more effective than repeating them in prompts every time.
- The free quota is calculated by the number of requests.
- running automated tasks intensively is likely to hit the limit, so implement rate limiting in your scripts.
- The repository page shows a large number of unresolved issues.
- If you encounter a problem, first search for existing entries—someone may have already run into it.
Traffic & popularity
Data month Sep 2026
Gemini CLI receives about 793.4M visits per month and ranks #37 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct53.3%
- Search24.4%
- Social9.5%
- Referrals9.3%
- AI assistants2.0%
- Other1.5%
Top countries
- United States18.7%
- China11.8%
- India10.3%
- Russia7.8%
- Germany4.2%
Estimated from third-party traffic data.
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