Google Launches Gemini CLI: Bringing AI-Powered Coding to the Terminal

Google is bringing vibe coding to your terminal with Gemini CLI

Some developers prefer to live in the command line interface (CLI), eschewing the flashy graphics and file management features of IDEs. Google's latest AI tool is for those terminal lovers. It's called Gemini CLI, and it shares a lot with Gemini Code Assist, but it works in your terminal environment instead of integrating with an IDE. And perhaps best of all, it's free and open source. Gemini CLI plugs into Gemini 2.5 Pro, Google's most advanced model for coding and simulated reasoning. It can create and modify code for you right inside the terminal, but you can also call on other Google models to generate images or videos without leaving the security of your terminal cocoon. It's essentially vibe coding from the command line. This tool is fully open source, so developers can inspect the code and help to improve it. The openness extends to how you configure the AI agent. It supports Model Context Protocol (MCP) and bundled extensions, allowing you to customize your terminal as you see fit. You can even include your own system prompts -- Gemini CLI relies on GEMINI.md files, which you can use to tweak the model for different tasks or teams. Now that Gemini 2.5 Pro is generally available, Gemini Code Assist has been upgraded to use the same technology as Gemini CLI. Code Assist integrates with IDEs like VS Code for those times when you need a more feature-rich environment. The new agent mode in Code Assist allows you to give the AI more general instructions, like "Add support for dark mode to my application" or "Build my project and fix any errors." Google wants as many people as possible to use Gemini in their development work, so Gemini CLI is available on Windows, Mac, and Linux -- it's also free for almost everyone. Individual developers can sign up to get a free Gemini Code Assist license, which also covers Gemini CLI. The free plan includes 60 model requests per minute and 1,000 per day. Google says this is about twice what its internal team has been using, so almost everyone should be able to integrate Gemini CLI without bumping up against the limit. For professionals who need to run multiple agents at the same time or prefer to use custom models, Gemini CLI supports usage-based billing in Vertex AI or AI Studio. To get started, just download Gemini CLI from GitHub. That's also where you can report issues and make suggestions to improve Google's AI dev tools.

Google unveils Gemini CLI, an open-source AI tool for terminals

Google is launching a new agentic AI tool that will put its Gemini AI models closer to where developers are already coding. The company announced on Wednesday the launch of Gemini CLI, an agentic AI tool designed to run locally from your terminal. The new tool connects Google's Gemini AI models to local codebases, and it allows developers to make natural language requests, such as asking Gemini CLI to explain confusing sections of code, write new features, debug code, or run commands. Gemini CLI is part of Google's efforts to get developers using its AI models in their coding workflows. Google now offers an array of AI coding tools, such as Gemini Code Assist and its asynchronous AI coding assistant, Jules. However, Gemini CLI competes directly with other command-line AI tools such as OpenAI's Codex CLI and Anthropic's Claude Code -- tools that tend to be easier to integrate, faster, and more efficient than other AI coding tools. Since Google launched Gemini 2.5 Pro in April, the company's AI models have become a favorite among developers. The popularity of Gemini 2.5 Pro has driven usage of third-party AI coding tools, such as Cursor and GitHub Copilot, which have become massive businesses. In response, Google has tried in recent months to build a direct relationship with these developers by offering in-house products. While most people will use Gemini CLI for coding, the company says it designed the tool to handle other tasks as well. Developers can tap Gemini CLI to create videos with Google's Veo 3 model, generate research reports with the company's Deep Research agent, or access real-time information through Google Search. Google also says Gemini CLI can connect to MCP servers, allowing developers to connect to external databases. To encourage adoption, Google is also open-sourcing Gemini CLI under the Apache 2.0 license, which is typically considered one of the most permissive. The company says it expects a network of developers to contribute to the project on GitHub. Google is also offering generous usage limits to spur adoption of Gemini CLI. Free users can make 60 model requests per minute and 1,000 requests per day, which the company says is roughly double the average number of requests developers made when using the tool. While AI coding tools are rising rapidly in popularity, using them comes with risks. According to a 2024 survey from Stack Overflow, just 43% of developers trust the accuracy of AI tools. Several studies have shown that code-generating AI models can occasionally introduce errors or fail to fix security vulnerabilities.

GitHub - google-gemini/gemini-cli: An open-source AI agent that brings the power of Gemini directly into your terminal.

This repository contains the Gemini CLI, a command-line AI workflow tool that connects to your tools, understands your code and accelerates your workflows. If you need to use a specific model or require a higher request capacity, you can use an API key: For other authentication methods, including Google Workspace accounts, see the authentication guide. Once the CLI is running, you can start interacting with Gemini from your shell. Use MCP servers to integrate your local system tools with your enterprise collaboration suite. This project leverages the Gemini APIs to provide AI capabilities. For details on the terms of service governing the Gemini API, please refer to the terms for the access mechanism you are using:

Google is bringing Gemini CLI to developers' terminals

Jess Weatherbed is a news writer focused on creative industries, computing, and internet culture. Jess started her career at TechRadar, covering news and hardware reviews. Google has launched a new open-source AI agent that brings Gemini's coding, content generation, and research capabilities directly into developers' terminals. Gemini CLI provides a "fundamental upgrade to your command line experience," according to Google, making it easier for developers to write and debug code using natural language prompts. "It provides lightweight access to Gemini, giving you the most direct path from your prompt to our model," Google said in its announcement. "While it excels at coding, we built Gemini CLI to do so much more. It's a versatile, local utility you can use for a wide range of tasks, from content generation and problem solving to deep research and task management." Gemini CLI utilizes Google's Gemini 2.5 Pro reasoning model, which currently supports a 1 million token context window (the amount of information that an AI model can understand). Google says the Gemini CLI agent is integrated with Gemini Code Assist, includes built-in Model Context Protocol (MCP) and Google Search support, and allows developers to generate images and video using its Veo and Imagen AI tools. Gemini CLI is available for developers to preview starting today, and it's currently free to use through a free Gemini Code Assist license that can be obtained via a personal Google account. That provides Gemini CLI users with a usage limit of 60 model requests per minute and 1,000 requests per day, which Google says is the "largest allowance" offered across the industry. Google hasn't mentioned if anything is available for users who exceed those usage limits, or if the AI agent will remain free-to-use when it becomes fully available. That generous allowance could give it an edge over other AI coding options like Anthropic's Claude Code and the GitHub Copilot Coding Agent, or even Microsoft's similar AI chatbot inside Windows Terminal.

Google releases Gemini CLI with free Gemini 2.5 Pro

Google has released Gemini 2.5 Pro-powered Gemini CLI, which allows you to use Gemini inside your terminal, including Windows Terminal. Gemini CLI is written in Typecript and it works across all platforms, including Windows, macOS and Linux. If you're a developer, you can follow Gemini CLI's guidelines and plug it into scripts and extend capabilities of existing tools. For example, if you use Cursor AI or Windsurf, you can integrate Gemini CLI and aid your vibe coding. To use Gemini CLI, open a terminal window and run the command npx https://github.com/google-gemini/gemini-cli. Once done, select the theme and link your Google account to begin using the AI inside the terminal. You can link a Google account to Gemini CLI to unlock features like a 1-million context window, 60 model requests per minute, and up to 1,000 requests per day If you want to run multiple agents or use it for proper development, Google recommends using Gemini Code Assist.

Google unveils Gemini CLI for developers

Google has introduced Gemini CLI, an open-source AI agent that brings Gemini AI capabilities right to a developer's terminal. Unveiled June 25, Gemini CLI is a command-line AI workflow tool that connects to a developer's tools, understands the developer's code, and accelerates the developer's workflow. Gemini CLI gives developers a direct path from their prompt to Google's Gemini AI model, the company said. "Gemini CLI is an agent that runs in your terminal that brings the power of Gemini in a very lightweight way to your terminal," said Taylor Mullen, Google senior staff software engineer, in a Google briefing on June 24. "We think Gemini CLI is going to fundamentally change how developers interact with AI." Gemini CLI can be used for tasks ranging from content generation and problem-solving to task management and deep research. The capabilities of the multimodal reasoning model include code understanding, file manipulation, command execution, and dynamic troubleshooting, Google said. The company said it built Gemini CLI to be extensible, leveraging standards such as Model Context Protocol (MCP), system prompts, and settings for personal and team configuration.

Gemini CLI brings Google's AI agent to your terminal for free

Google's latest AI tool for developers is Gemini CLI, which brings 2.5 Pro to your command line interface or terminal. Currently in preview, this AI agent is open-sourced and provides "lightweight access to Gemini" on Mac, Windows, and Linux in your terminal of choice. Beyond code understanding, it offers file manipulation, command execution, and troubleshooting with a rich interface. Other built-in tools include: Google touts use cases like writing and explaining code, debugging issues, managing projects, and getting help from documentation using natural-language queries. Besides coding, this agent can be used for image and content generation, deep research, problem solving, and task management. Gemini CLI is fully open-sourced (Apache 2.0) at github.com/google-gemini/gemini-cli and Google invites developers to contribute by "reporting bugs, suggesting features, continuously improving security practices and submitting code improvements." On the security front, Google also notes how users have to confirm actions initially, with multi-layered sandboxing leveraged. Gemini CLI is available "free-of-charge" with a personal Google Account and free Gemini Code Assist license. This gives you access to Gemini 2.5 Pro and its 1 million token context window. Google touts the "industry's largest allowance" with "60 model requests per minute and 1,000 requests per day at no charge." Professional developers can use a Google AI Studio or Vertex AI key for usage-based billing, as well as a Gemini Code Assist Standard or Enterprise license. Google has also integrated Gemini CLI with Gemini Code Assist.

Google just launched a new AI tool for developers -- here's why it matters to everyone else

Google just launched a new AI tool called Gemini CLI; and while it's designed for developers, it could lead to smarter, more flexible AI tools for everyone else. In simple terms, Gemini CLI lets people run Google's powerful Gemini AI model right from their computer's command line. For those that don't know, the "command line" (or terminal) is a tool that lets you type instructions directly to your computer; instead of clicking buttons or using apps. It looks like a plain black-and-white window where you type commands to make things happen. You've probably seen it before and may not have known the name of it. Developers and power users often use the command line because it's fast, flexible, and lets them automate tasks or control their system more precisely than with regular apps. And while all of this might sound just a little bit too technical for the casual user, the bigger picture is this: by making Gemini more open and customizable, Google is giving developers new ways to build creative AI tools; everyday users will likely benefit down the line. Gemini CLI lets users bring Google's latest Gemini AI model -- Gemini 2.5 Pro -- into their terminal, with full support for writing and debugging code, automating tasks, generating content and integrating AI into custom workflows. It's free, open-source, and comes with generous usage limits: up to 1,000 requests per day, no API key required. Open-source means the software's code is made public, so anyone can view it, use it or modify it and it's typically free to do so (ChatGPT is an exception). For example, if a tool is open-source, developers around the world can improve it, fix bugs or build their own versions with it. Being open-source also means you can see exactly how the software works. In other words, it's not a "black box" controlled only by the company that made it. This latest development shows Google's AI strategy is shifting toward open access and customization. By releasing Gemini CLI as an open-source tool (under Apache 2.0), Google is inviting developers everywhere to build new ways to use Gemini -- not just through official apps, but through personalized tools and scripts. In short: expect to see a wave of new Gemini-powered tools to emerge in the coming months; many created by the community, not by Google alone. Whether you use AI for productivity, creativity or problem-solving, this kind of open access helps the ecosystem grow faster, and potentially leads to more useful options for all users. Even if you never touch the terminal, Gemini CLI is a clear sign that Google is pushing to make its AI tools more open, flexible and customizable. That means more developers (and hobbyists) will be able to build creative new ways to use Gemini, and going beyond official Google apps. In the coming months, we'll likely see more community-built tools, scripts, and AI-powered shortcuts start to surface, making it easier for everyone to take advantage of AI in new and unexpected ways.

Forget about AI costs: Google just changed the game with open-source Gemini CLI that will be free for most developers

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more For power users and many developers, the command line is the foundational interface for controlling a system and its applications. Also sometimes referred to as a terminal, the command line interface (CLI) is how users issue commands and build applications as an alternative, or as a complement, to an integrated developer environment (IDE) tool. While it might seem almost anachronistic that a text-only interface accessible with a keyboard (CLI doesn't even use a mouse) can be modern, it remains a mainstay of developers around the world. In the modern era of generative AI, it's becoming more powerful too. Today Google announced its open-source Gemini-CLI that brings natural language command execution directly to developer terminals. Beyond natural language, it brings the power of Google's Gemini Pro 2.5 -- and it does it mostly for free. The free tier provides 60 model requests per minute and 1,000 requests per day at no charge, limits that Google deliberately set above typical developer usage patterns. Google first measured its own developers' usage patterns, then doubled that number to set the 1,000 limit. "To be very clear, for the vast majority of developers, Gemini CLI will be completely free of charge," Ryan J. Salva, senior director for product management at Google, said in response to a question from VentureBeat during a press briefing. "We do not want you having to watch that token meter like it's a taxi meter and holding back on your creativity." How Google Gemini CLI disrupts the enterprise AI market Gemini CLI is far from being the first or only AI tool for the command line. OpenAI Codex has a CLI version, as does Anthropic with Claude Code. Google Gemini CLI, however, is quite different from its two primary commercial rivals in that the tool is open source under the Apache 2.0 license. Then, of course, is the cost. While Gemini CLI is mostly free, OpenAI and Anthropic's tools are not. In response to another question from VentureBeat, Google senior staff software engineer Taylor Mullen said he expects that Gemini CLI will be more widely used, simply because it is free. He noted that many users will not use OpenAI Codex or Claude code for just any task, as it carries a cost. "Being able to amplify literally anything and everything means it's woven into the fabric of so much more of your workflow," Mullen said. Extensibility through Model Context Protocol and custom extensions Another key differentiator for Gemini CLI lies in its extensibility architecture, built around the emerging Model Context Protocol (MCP) standard. This approach lets developers connect external services and add new capabilities and positions the tool as a platform rather than a single-purpose application. During the briefing, Google demonstrated this extensibility through a pre-recorded video showing Gemini CLI integrated with Google's creative AI tools. An agent creating a cat video set in Australia first generated images using Imagen APIs, then wove them into an animated video using Veo technology. The extensibility model includes three layers: Built-in MCP server support, bundled extensions that combine MCP servers with configuration files and custom Gemini.md files for project-specific customization. This architecture allows individual developers to tailor their experience while enabling teams to standardize workflows across projects. Where Google starts charging: Enterprise features and scale While individual developers enjoy generous free access, Google's monetization strategy becomes clear for enterprise use cases. The company maintains a clear delineation between free individual use and paid enterprise features. Accessing Gemini CLI only requires a Google login. It does not require any sort of API key or credit card on file in order to use. While there is a very generous free tier, there can be costs involved for enterprise users. Salva noted that if an organization wants to run multiple Gemini CLI agents in parallel, or if there are specific policy, governance or data residency requirements, a paid API key comes in. The key could be for access to Google Vertex AI, which provides commercial access to a series of models including, but not limited to, Gemini Pro 2.5 Technical architecture and security model Gemini CLI operates as a local agent with built-in security measures that address common concerns about AI command execution. The system requires explicit user confirmation for each command, with options to "allow once," "always allow" or deny specific operations. The tool's security model includes multiple layers of protection. Users can use native macOS Seatbelt support for sandboxing, run the agent in Docker or Podman containers, and route all network traffic through proxies for inspection. The open-source nature under Apache 2.0 licensing allows complete code auditing. "You have complete transparency into it," Salva noted. "The tool only has access to the information that you explicitly provide in a prompt or a reference file path and you decide what context to share with the model on a prompt by prompt by prompt basis." While Gemini CLI runs as a local agent it's important to note that it doesn't currently run the models locally. That is, the Gemini Pro 2.5 model is accessed from the cloud and Google is not providing support to run a local model. Mullen noted that although there is a subset of tasks which could probably be done with a local model, Google is not shipping local model support today. Strategic impact on AI development tool economics For enterprises looking to lead in AI, the extremely generous free tier for Gemini CLI will be an option that should be considered for some use cases. To be clear, it's not a full enterprise system, but it's the foundation on which enterprise application and agentic AI systems can be developed. For individual developers within enterprises, it represents a no-barrier entry for AI access. The open-source architecture addresses common enterprise security concerns by enabling complete code auditing and on-premises deployment options. Organizations can evaluate production-grade AI capabilities without vendor lock-in risks or complex procurement cycles. "It doesn't matter if you've got dust or dollars, whether you're a student, hobbyist, a freelancer or a developer at a very well funded company, you should have access to the same tools," said Salva. "So that is why we're making Gemini CLI free with genuinely unmatched usage limits right from the get go."

Gemini CLI: your open-source AI agent

For developers, the command line interface (CLI) isn't just a tool; it's home. The terminal's efficiency, ubiquity and portability make it the go-to utility for getting work done. And as developers' reliance on the terminal endures, so does the demand for integrated AI assistance. That's why we're introducing Gemini CLI, 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. While it excels at coding, we built Gemini CLI to do so much more. It's a versatile, local utility you can use for a wide range of tasks, from content generation and problem solving to deep research and task management. We've also integrated Gemini CLI with Google's AI coding assistant, Gemini Code Assist, so that all developers -- on free, Standard, and Enterprise Code Assist plans -- get prompt-driven, AI-first coding in both VS Code and Gemini CLI.

Google Accidentally Leaks Its Open-Source Gemini CLI Ahead of Launch | AIM

Google's open-source CLI solution could spell trouble for Claude Code and OpenAI's Codex CLI. Google appears to have prematurely unveiled Gemini CLI, an open-source command-line interface that brings its Gemini AI models directly into developers' terminals. The tool is slated to be publicly accessible, offering high-capacity usage for free and full integration with Google's AI-powered coding assistant, Gemini Code Assist. Gemini CLI, released under the Apache 2.0 license, is designed as a local utility for coding, content creation, research, and task automation. It connects users to Gemini 2.5 Pro with a substantial one-million-token context window and allows up to 1,000 free requests daily. Users simply need a personal Google account to begin. "Gemini CLI offers the industry's largest usage allowance at 60 model requests per minute and 1,000 model requests per day at no charge," the archived announcement mentioned. "It provides the most direct path from your prompt to our model." The interface supports extensibility via the Model Context Protocol (MCP) and allows users to invoke AI non-interactively within scripts. Prompt grounding with Google Search and support for structured system prompts via GEMINI.md are also built in. This emphasises Google's aim to make Gemini an adaptable, scriptable agent environment. The release also aligns Gemini CLI with Gemini Code Assist, enabling seamless handover between terminal and IDE workflows. The Gemini Code Assist is a free AI coding tool that supports all programming languages and offers features like code completion, generation, chat, and natural language prompts, with up to 1.8 lakh code completions per month. Gemini CLI's sudden appearance follows Google's recent push towards open agentic frameworks and high-trust developer tooling. Its GitHub repository is not currently accessible and is expected to appear at http://github.com/google-gemini/gemini-cli. As of now, there has been no official correction or clarification from Google regarding the apparent leak.

Google introduces Gemini CLI: An AI agent that lives in the developer terminal - SiliconANGLE

Google introduces Gemini CLI: An AI agent that lives in the developer terminal Google LLC today introduced a new way for developers to work with Gemini, the company's flagship artificial intelligence model at the command line using a customizable agentic tool. The command line interface is the text-based way for users to interact with a computer's operating system. To many users, it's seen as an almost mystical method for connecting to the computer, but for developers, it's the rawest method of installing, modifying and using commands. However, it's also the most fraught with risk. A single typo can cause a command to fail. Command line lacks the ease of icons and graphics; users must type commands directly into a terminal. It is the mainstay of hacker movies where actors type furiously at their keyboards and text flies across the screens. Gemini CLI is an open-source AI agent that brings the power of Gemini directly into the terminal. It acts as a lightweight interface for the AI model that allows users to prompt it to take actions using plain English language. No more typing out long, obtuse commands, looking up documentation in books or on the web and trying to recall long-forgotten scripts. Now users can have Gemini execute file modifications, run long sequences of commands to generate or manipulate content, install or migrate code, do code analysis and more. Gemini can perform all of these tasks and self-correct when needed. "Computers have required users to adapt to how computers work, now computers will adapt to them. We think builders, developers and creators will love this. This will be very approachable," said Taylor Mullen, senior staff software engineer at Google. "With this, the command line is no longer for rigid commands; this tool changes the command line from simple commands to an active partner." For example, if a user wants to run a series of commands that are interconnected but isn't sure about all the necessary sub-parameters to activate them, many commands offer a "-help" parameter. This parameter provides information on how the command works. By prompting the Google CLI with the user's desired actions, the model can examine the command-line tools (including the help text) to ensure they are used correctly. Gemini CLI is capable of providing code understanding, file manipulation and command execution and dynamic script troubleshooting at the command line. It is grounded with Google Search to obtain extra information about commands, scripts and information on the computer and users can extend its capabilities with the Model Context Protocol. Users can also provide system prompts for Gemini CLI in a file named "GEMINI.md" and settings for both personal and team configurations so the model can be tailored to project standards. A system prompt is a set of overarching instructions that always runs and acts as a foundational guide to shape how an AI responds. It can be used to set project conditions, best practices, point it at favorite codebases and personalization. Developers can use Gemini CLI free of charge today by simply logging in with their personal Google account. This provides up to 60 model requests per minute and 1,000 requests per day for free alongside access to Google 2.5 Pro. Professional developers who want to run multiple agents simultaneously, or prefer to use specific AI models, can use Google AI Studio or Vertex AI keys for usage-based billing.

Google debuts Gemini AI coding tool in bid to entice developers

Alphabet Inc.'s Google is adding an artificial intelligence coding assistant to ease the work of developers, aiming to catch up with rival products such as OpenAI's Codex and Anthropic's Claude Code. The Gemini CLI -- short for "command line interface" -- is launching globally, the internet search giant said Wednesday. The tool is designed to reduce the complexity of traditional programming interfaces, letting developers use ordinary language to work with AI. "With Gemini CLI, you can have a natural language conversation with your computer to solve problems, to weave complex workflows together to do way more than you could have possibly done in the past," Taylor Mullen, a Google senior staff software engineer, said in a briefing with reporters ahead of the company's announcement. The AI agent provides access to Google's Gemini AI software from the terminal, the text-based interface where developers type commands to control their computer. Although the tool is primarily an AI coding assistant, developers can use Gemini CLI for a range of tasks, including generating video or setting up a simple website, Google said. Gemini CLI also is open source, meaning its code is freely available to modify and redistribute. The company said that its goal is to democratize AI coding and continually improve the product with users' contributions. Developers can also inspect the code to understand how it works and verify its security, Google said. The company's TensorFlow AI engine is also open source, as are several AI models based on its so-called transformers. Those are the building blocks that make up today's most widely used large language models, including OpenAI's ChatGPT. In 2024, Google introduced a pair of open large language models that it called Gemma, reversing its general strategy of keeping the company's proprietary artificial intelligence technology out of public view. The announcement on Wednesday points to a renewed commitment to more actively engage with outside developers. Users can access Gemini CLI from any personal Google account, which will grant them a free Gemini Code Assist license. The license grants access to Gemini 2.5 Pro, the company's flagship model, as well as what Google says is the industry's largest allowance of prompts -- the queries that trigger the AI. Users can make 60 requests per minute and 1,000 requests per day. Paying for a standard version increases that allowance to 120 queries per minute and 1,500 queries per day, while Gemini CLI's enterprise model allows for 2,000 queries per day. "We believe that these tools are going to dominate the way not just developers, but creators of all kinds, work over the next decade," said Ryan J. Salva, a senior director of product at Google. "It doesn't matter whether you're a student or a hobbyist, a freelancer or a developer. You should have access to the same tools."

Google unveils Gemini CLI for developers - 5 critical features of the open-source AI agent

Google introduces Gemini CLI, an open-source AI assistant for developers. It brings AI to the command line, aiding in coding, debugging, and task management. Gemini CLI integrates with Gemini Code Assist, offering consistent AI help in terminals and VS Code. Individual developers can use Gemini CLI for free. It is extensible, customizable, and open-source, inviting community contributions.Google has just launched Gemini CLI, an open-source AI assistant designed specifically for developers to have access to the command line interface, according to the company's blog post. For developers who spend a lot of their day in the terminal, it takes AI to where they work, providing quick assistance with a wide range of tasks, from content generation and problem solving to deep research and task management, according to Google's blog post. Google said, "We've also integrated Gemini CLI with Google's AI coding assistant, Gemini Code Assist, so that all developers -- on free, Standard, and Enterprise Code Assist plans -- get prompt-driven, AI-first coding in both VS Code and Gemini CLI." The following are five important features that set Gemini CLI apart: Individual developers can utilise Gemini CLI for free by simply logging in with a personal Google account, as per the report. This grants access to Gemini 2.5 Pro and a massive 1 million token context window, and for the preview period, Google is providing "60 model requests per minute and 1,000 requests per day at no charge," according to the blog post. ALSO READ: Gas relief coming? Oil now cheaper than it was before Iran-Israel war -- what it means for your wallet Gemini CLI is integrated with Gemini Code Assist, Google's AI coding assistant in VS Code, as per Google's blog post. This means that developers on any plan have the same AI assistance in both their terminal and their IDE, as per the report. Code Assist utilises agent mode to author tests, debug problems, create features, and even work on complicated things like code migration, according to the blog. Google said, "Based on your prompt, Code Assist's agent will build a multi-step plan, auto-recover from failed implementation paths and recommend solutions you may not have even imagined." The CLI will streamline a developer's workflow in natural language that allows the user to code, debug, work with files, and execute commands, as per Google's blog post. The tech giant said that the Gemini CLI provides powerful AI capabilities, which include, ground prompts with Google Search, extend Gemini CLI's capabilities, customize prompts and instructions and automate tasks and integrate with existing workflows. ALSO READ: McDonald's dumps Krispy Kreme -- no more Doughnuts with your fries? Fans react to abrupt breakup Google said, "We also built Gemini CLI to be extensible, building on emerging standards like MCP, system prompts (via GEMINI.md) and settings for both personal and team configuration. We know the terminal is a personal space, and everyone deserves the autonomy to make theirs unique." Gemini CLI is open-source under the Apache 2.0 license, as per the blog post. Developers can view the code, see how it functions, and contribute via GitHub, according to the report. Google invites the community to report bugs, propose features, and enhance security. What is Gemini CLI? It's an open-source AI assistant that brings Google's Gemini AI model directly into your terminal. Can Gemini CLI help me write and debug code? Yes, it's designed to assist with coding, debugging, running commands, and automating tasks, all through natural language.

Google's new AI agent for developers - The Economic Times

The AI agent, named Gemini CLI, slated to go live on June 25 globally, is integrated with Gemini Code Assist, which users can access for free as well as subscribe to. Gemini CLI removes the need for software programmers to learn cryptic commands and programming languages.The US-based tech giant Google is launching Gemini CLI, an open-source AI agent that helps developers with coding and is equipped to do tasks, including content generation and deep research. The AI agent, which will go live on June 25 globally, is also integrated with the tech major's coding assistant, Gemini Code Assist, which the users can access for free as well as subscribe to. Users can make 60 model requests per minute and 1,000 model requests per day for free. CLI refers to the command line interface, which is used by developers for communicating with the operating system through text prompts. Most of us would have seen the IT support teams work on the black screens, giving cryptic commands to solve issues and manage complex systems. That screen is CLI. Speaking at the global media roundtable, which ET was a part of, Taylor Mullen, senior staff software engineer, explained that it requires memorising hundreds of cryptic commands, as a single typo could mean failure. Gemini CLI aims to simplify this for the developers. Mullen said that Gemini CLI removes the need to learn cryptic commands and programming languages, as the agent gives developers access to the Gemini model. "You can tell your computer what you want to achieve rather than struggling with how to say it in the computer's native tone," he said. In addition to using it for maintenance, which is the case right now, using Gemini CLI, developers can also use it for solving problems and coding. Gemini CLI can also be used to generate code that is specific to your needs. "Under your supervision, it can read your entire project and understand the dependencies. It understands your coding patterns and the function definitions from inside your project. And this means that the code it generates is not a generic boilerplate; it's tailored to your specific project and your specific conventions," Muller said. The tool also supports extensions such as the model context protocol. Talking about the Indian market, Ryan J Salva, senior director, product management, said that India is one of the largest development centres across Bengaluru and Hyderabad and is served through the APAC data centres.

Google Introduces Gemini CLI Agent to Take on Claude Code

On top of that, you get a context window of 1 million tokens with support for multimodal processing. Google has introduced a new AI agent called Gemini CLI that directly works inside the terminal. Just like Anthropic's popular Claude Code terminal agent, the Gemini CLI agent can work with your codebase, debug issues, and streamline your workflow from the command line interface. Gemini CLI can perform Google searches to find the latest information, tap MCP servers, write code, and automate tasks within your existing workflow. On top of that, Gemini CLI is fully open-source under the Apache 2.0 license, and developers can contribute to the project. Besides that, Google has also integrated Gemini CLI into Gemini Code Assist which you can use in VS Code. If you want to work in an IDE, Google has ensured that you can leverage all the functionalities of Gemini CLI in VS Code. The best part is that Google is offering Gemini CLI free of charge. Yes, you read that right. You get access to the flagship Gemini 2.5 Pro model and a context window of 1 million tokens. Not only that, you can process 60 model requests per minute and 1,000 requests per day without paying anything. That's so much better than Claude Code. You can also define the Gemini.md file to guide the agent and add your coding preferences. With the rise of coding agents such as OpenAI's Codex and Anthropic's Claude Code, Google has also entered the race with this terminal-based AI agent.

Google Intros Open Source Gemini Model For Developers | PYMNTS.com

Gemini CLI (command line interface), announced Wednesday (June 25), is an open-source AI agent that offers "lightweight" access to the company's Gemini model. Despite its name, however, Google says the tool is designed for coding as well as tasks like content generation, deep research and task management. "For developers, the command line interface isn't just a tool; it's home," the company said in its announcement. "The terminal's efficiency, ubiquity and portability make it the go-to utility for getting work done. And as developers' reliance on the terminal endures, so does the demand for integrated AI assistance." Google said it has also integrated Gemini CLI with its AI coding assistant, Gemini Code Assist, allowing all developers -- on free, Standard and Enterprise Code Assist plans -- to "get prompt-driven, AI-first coding in both VS Code and Gemini CLI." Also this week, Google's DeepMind introduced a vision language action (VLA) model that runs locally on robotic devices, with no need to access a data network. The new robotics foundation model, Gemini Robotics On-Device, features general-purpose dexterity and fast task adaptation, the company wrote on its blog. "Since the model operates independent of a data network, it's helpful for latency sensitive applications and ensures robustness in environments with intermittent or zero connectivity," Google DeepMind Senior Director and Head of Robotics Carolina Parada said in the post. The model follows natural language instructions and has the dexterity to carry out tasks like unzipping bags, folding clothes, zipping a lunchbox, drawing a card, pouring salad dressing and assembling products, and is also Google DeepMind's first VLA (vision-language-action) model that is available for fine-tuning, per the post. In other AI news, PYMNTS wrote Wednesday about the technology's use in the B2B payments space as that industry adopts agentic AI. "I think we're standing at the edge of a major transformation," Coupa Product Strategy and Management SVP Rajiv Ramachandran told PYMNTS during an interview for the June "What's Next in Payments: Secret Agents" series. "Agentic AI is not just a technological trend -- it's a rethinking of how decision-making, risk and value creation happen inside financial workflows," he added. While "agentic AI" may sound futuristic, Ramachandran said he sees it as a pragmatic solution to an old business imperative: do more, faster and more securely, with less human overhead. "It's not just about automation; it's about delegation," he said.