HomeGoogle Introduces Gemini CLI, an Open-Source AI Tool for Developers
Google is rolling out a new AI-powered tool to bring its Gemini AI models directly into developers' coding environments.
On Wednesday, Google unveiled Gemini CLI, an AI-driven tool crafted to operate locally from a terminal. This innovative tool integrates Google's Gemini AI models with local codebases, enabling developers to use natural language to request explanations for complex code, create new features, debug issues, or execute commands.
Gemini CLI is a key part of Google’s strategy to embed its AI models into developers’ coding routines. Alongside tools like Gemini Code Assist and the asynchronous AI coding assistant Jules, Google is expanding its AI coding portfolio. However, Gemini CLI directly rivals command-line AI tools like OpenAI’s Codex CLI and Anthropic’s Claude Code, which are often praised for their seamless integration, speed, and efficiency.
Since the launch of Gemini 2.5 Pro in April, Google’s AI models have gained significant traction among developers. The success of Gemini 2.5 Pro has fueled the adoption of third-party AI coding tools like Cursor and GitHub Copilot, which have grown into major platforms. In response, Google has focused on fostering direct connections with developers by introducing its own in-house solutions.
Beyond coding, Gemini CLI is designed for versatility. Developers can leverage it to generate videos using Google’s Veo 3 model, produce research reports with the Deep Research agent, or retrieve real-time data via Google Search. Additionally, Gemini CLI supports connections to MCP servers, allowing integration with external databases.
To drive adoption, Google is releasing Gemini CLI as open-source software under the Apache 2.0 license, known for its permissive terms. The company anticipates active contributions from the developer community on GitHub.
Google is also offering substantial usage limits to encourage adoption of Gemini CLI. Free users can make up to 60 model requests per minute and 1,000 requests daily, roughly twice the average usage Google observed during testing.
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Comments (3)
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![TimothyMitchell]()
コマンドラインでGeminiが使えるのは便利そう。でもGoogleはまた新サービス出してるけど、既存のAPIとどう使い分ければいいんだろう？なんか最近のAIツール多すぎて追いつけない😅
![StevenGreen]()
¡Qué interesante herramienta para desarrolladores! 🤓 Me pregunto si esta CLI de Gemini podría competir con otras herramientas de IA como GitHub Copilot, o si simplemente añadirá más fragmentación al ecosistema. Espero que sea realmente útil y no solo otro proyecto más de Google que abandone pronto 😅
![JohnGarcia]()
Qué buen concepto el CLI de Gemini 👏 Pero seguro que terminará como otros proyectos de Google, abandonado al primer problema de adopción. Al menos es open-source, así que quizás la comunidad lo rescate si Google lo deja morir. ¡Suerte a los devs que lo prueben!
Google is rolling out a new AI-powered tool to bring its Gemini AI models directly into developers' coding environments.
On Wednesday, Google unveiled Gemini CLI, an AI-driven tool crafted to operate locally from a terminal. This innovative tool integrates Google's Gemini AI models with local codebases, enabling developers to use natural language to request explanations for complex code, create new features, debug issues, or execute commands.
Gemini CLI is a key part of Google’s strategy to embed its AI models into developers’ coding routines. Alongside tools like Gemini Code Assist and the asynchronous AI coding assistant Jules, Google is expanding its AI coding portfolio. However, Gemini CLI directly rivals command-line AI tools like OpenAI’s Codex CLI and Anthropic’s Claude Code, which are often praised for their seamless integration, speed, and efficiency.
Since the launch of Gemini 2.5 Pro in April, Google’s AI models have gained significant traction among developers. The success of Gemini 2.5 Pro has fueled the adoption of third-party AI coding tools like Cursor and GitHub Copilot, which have grown into major platforms. In response, Google has focused on fostering direct connections with developers by introducing its own in-house solutions.
Beyond coding, Gemini CLI is designed for versatility. Developers can leverage it to generate videos using Google’s Veo 3 model, produce research reports with the Deep Research agent, or retrieve real-time data via Google Search. Additionally, Gemini CLI supports connections to MCP servers, allowing integration with external databases.
To drive adoption, Google is releasing Gemini CLI as open-source software under the Apache 2.0 license, known for its permissive terms. The company anticipates active contributions from the developer community on GitHub.
Google is also offering substantial usage limits to encourage adoption of Gemini CLI. Free users can make up to 60 model requests per minute and 1,000 requests daily, roughly twice the average usage Google observed during testing.
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Below is the rewritten content following your instructions, with the title and HTML content properly formatted and rewritten in natural, SEO-compliant English, preserving all HTML tags and their structure.
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コマンドラインでGeminiが使えるのは便利そう。でもGoogleはまた新サービス出してるけど、既存のAPIとどう使い分ければいいんだろう？なんか最近のAIツール多すぎて追いつけない😅
¡Qué interesante herramienta para desarrolladores! 🤓 Me pregunto si esta CLI de Gemini podría competir con otras herramientas de IA como GitHub Copilot, o si simplemente añadirá más fragmentación al ecosistema. Espero que sea realmente útil y no solo otro proyecto más de Google que abandone pronto 😅
Qué buen concepto el CLI de Gemini 👏 Pero seguro que terminará como otros proyectos de Google, abandonado al primer problema de adopción. Al menos es open-source, así que quizás la comunidad lo rescate si Google lo deja morir. ¡Suerte a los devs que lo prueben!
