2025/07/01
Gemini CLI (Command Line Interface) is an open source tool developed by Google, allowing you to interact directly with powerful Gemini AI models through terminals, and develop and manage various AI Agents based on this . It simplifies AI operations and allows you to complete complex AI tasks in the terminal.
Gemini CLI allows you to talk to AI in your terminal:
It is a right-hand assistant to engineers, greatly improving efficiency:
Gemini CLI is powerfully scalable and can be integrated with a variety of tools:
It is the core tool for developing AI Agents:
Gemini CLI is a multi-functional tool that brings the powerful capabilities of Google Gemini AI into developers’ terminal workflows, improves productivity, simplifies AI tasks, and provides a solid foundation for building an automated and intelligent AI Agent.
Here are the steps to install and start the Gemini CLI:
You can choose any of the following ways to execute the Gemini CLI:
npx https://github.com/google-gemini/gemini-cli
or
" npm install -g @google/gemini-cli"
Execute "gemini" under the command prompt character
Complete the above steps and you can start using the Gemini CLI!
Then select the topic, and then select Auth Method. There are three ways to log in:
This will enable browser authorization here, and the authorization will be successful when you see the following screen.
Then you can see the following dialog box and you can start the conversation!
Enter /help first to view all available instructions and instructions.
Here are the basic features, instructions, and keyboard shortcuts of the Gemini CLI:
Let's take the application of Gemini CLI to a more advanced level: creating an AI Agent that can generate and assist in the development of "Snake Eater Games" code. This will demonstrate the powerful capabilities of Gemini models in code generation and how you can use the Gemini CLI to drive complex tasks like this.
Goal: Let the AI Agent understand our needs, generate Python code for the Snake Eater game, and provide modification suggestions if necessary.
Ask Gemini CLI to create a simple snake-eating game. Gemini CLI will explain to you its technical choices and new features, and how it will be visually presented, and finally explain the archive structure.
When the web page is opened at the beginning, the game starts immediately and ends quickly, without any prompts or restart buttons, causing the player to Game Over before he responds.
The first game produced, the webpage ends as soon as it is opened, and there is no button to restart, so it will end if you don’t have time to react.
We ask Gemini CLI to join the reset mechanism and explain the reasons for the error as follows:
The Gemini CLI immediately responded and automatically modified the code, adding the following functions:
After correction, a normal game of gluttony snake was successfully produced, with:
This task demonstrates the strength of Gemini CLI to assist in the development of interactive applications, from error recognition to complete functions, and fully automatic completion of the process.
In the AI field, Gemini CLI and ChatGPT are powerful tools, but they differ in design concepts and application scenarios, which also determines their applicability when developing AI Agents.
ChatGPT mainly focuses on dialogue and user experience. Its original design is to provide smooth and natural multi-round dialogue capabilities, and attract users through extremely intuitive and easy-to-use web interfaces. The API is also suitable for developers to quickly integrate dialogue functions. For most general users, ChatGPT is more like a "call-on-use" black box service. Although developers can transmit prompt words through the API, their meticulous control over model behavior is relatively limited. therefore, ChatGPT is more suitable for smart conversation applications that are directly targeted to end users, or for prototyping and concept development for fast verification of conversational applications. 。
Gemini CLI is a tool designed for developers, providing command-line interfaces that directly expose the functions of Gemini API. It has focused on the capabilities of programming, automation and flexible integration since the beginning of design. It is highly controllable. Developers can accurately control various parameters of the model, such as temperature, top_p, top_k through CLI or Python function libraries, and can process multimodal inputs (such as pictures), and even use function calls to further expand the model's action capabilities. In addition, Gemini CLI adopts modular design, like Lego bricks in the hands of developers, which can be easily embedded in existing workflows, scripts, automation systems or large-scale applications. It not only supports text generation, but also produces program codes and text files, and processes complex input and output structures. Through CLI, developers can also have more direct contact with the underlying Gemini model, which is particularly important for application scenarios that require highly customized and optimized AI Agent behavior.
Gemini CLI has several features that make it an ideal tool for developing AI Agents. First, in terms of automation and scripting, it allows developers to easily embed AI model calls into any script to achieve a task execution process without manual intervention. Its meticulous parameter control function provides extremely high degree of freedom for the behavioral adjustment of AI Agent, and can flexibly adjust the model's response method according to task requirements. For applications that require processing multiple data types, The model behind Gemini CLI also supports powerful multimodal capabilities, which can understand and generate text, pictures, PDFs, and codes (more than videos and audio are supported yet). Furthermore, its function call function is more critical, allowing the model to decide whether to call external tools or functions based on the situation, such as querying databases, sending emails or executing commands, allowing the AI Agent to truly have the ability to actually perform tasks. . Finally, as a part of the Google AI ecosystem, Gemini CLI is built on a stable cloud infrastructure and is highly integrated with a diverse development toolchain, making deployment and expansion of AI Agents smoother and more scalable.
In short, if your goal is to build an AI Agent that automates tasks, interacts with external systems, and requires highly customized behavior, Gemini CLI is undoubtedly a more appropriate and powerful choice than ChatGPT, which focuses primarily on dialogue.
Gemini CLI is not only a powerful tool at present, it also carries the huge potential to reshape the future AI tool development ecosystem. With the rapid development of AI technology, we are moving from simply “using AI” to “using AI to developing AI Agents and smart tools”. , and Gemini CLI is the key catalyst in this transition.
Here are a few key aspects of how Gemini CLI may affect the future AI development ecosystem:
all in all, Gemini CLI is not just a tool, it is also a critical infrastructure that leads the arrival of the AI Agent era. It will design, construct and deploy next-generation intelligent applications in a more flexible, efficient and creative way to truly reshape the AI tool development ecosystem we know 。
Try downloading Gemini CLI and create your own AI Agent. If you want to experience a more convenient UI interface, you might as well make an appointment to try out our development GenApe AI Agent to explore more possibilities for automation and intelligence integration!
Make an appointment for a trial of GenApe AI Agent
Gemini CLI (Command Line Interface) is an open source tool developed by Google, allowing you to interact directly with powerful Gemini AI models through terminals, and develop and manage various AI Agents based on this . It simplifies AI operations and allows you to complete complex AI tasks in the terminal.
Gemini CLI allows you to talk to AI in your terminal:
It is a right-hand assistant to engineers, greatly improving efficiency:
Gemini CLI is powerfully scalable and can be integrated with a variety of tools:
It is the core tool for developing AI Agents:
Gemini CLI is a multi-functional tool that brings the powerful capabilities of Google Gemini AI into developers’ terminal workflows, improves productivity, simplifies AI tasks, and provides a solid foundation for building an automated and intelligent AI Agent.
Here are the steps to install and start the Gemini CLI:
You can choose any of the following ways to execute the Gemini CLI:
npx https://github.com/google-gemini/gemini-cli
or
" npm install -g @google/gemini-cli"
Execute "gemini" under the command prompt character
Complete the above steps and you can start using the Gemini CLI!
Then select the topic, and then select Auth Method. There are three ways to log in:
This will enable browser authorization here, and the authorization will be successful when you see the following screen.
Then you can see the following dialog box and you can start the conversation!
Enter /help first to view all available instructions and instructions.
Here are the basic features, instructions, and keyboard shortcuts of the Gemini CLI:
Let's take the application of Gemini CLI to a more advanced level: creating an AI Agent that can generate and assist in the development of "Snake Eater Games" code. This will demonstrate the powerful capabilities of Gemini models in code generation and how you can use the Gemini CLI to drive complex tasks like this.
Goal: Let the AI Agent understand our needs, generate Python code for the Snake Eater game, and provide modification suggestions if necessary.
Ask Gemini CLI to create a simple snake-eating game. Gemini CLI will explain to you its technical choices and new features, and how it will be visually presented, and finally explain the archive structure.
When the web page is opened at the beginning, the game starts immediately and ends quickly, without any prompts or restart buttons, causing the player to Game Over before he responds.
The first game produced, the webpage ends as soon as it is opened, and there is no button to restart, so it will end if you don’t have time to react.
We ask Gemini CLI to join the reset mechanism and explain the reasons for the error as follows:
The Gemini CLI immediately responded and automatically modified the code, adding the following functions:
After correction, a normal game of gluttony snake was successfully produced, with:
This task demonstrates the strength of Gemini CLI to assist in the development of interactive applications, from error recognition to complete functions, and fully automatic completion of the process.
In the AI field, Gemini CLI and ChatGPT are powerful tools, but they differ in design concepts and application scenarios, which also determines their applicability when developing AI Agents.
ChatGPT mainly focuses on dialogue and user experience. Its original design is to provide smooth and natural multi-round dialogue capabilities, and attract users through extremely intuitive and easy-to-use web interfaces. The API is also suitable for developers to quickly integrate dialogue functions. For most general users, ChatGPT is more like a "call-on-use" black box service. Although developers can transmit prompt words through the API, their meticulous control over model behavior is relatively limited. therefore, ChatGPT is more suitable for smart conversation applications that are directly targeted to end users, or for prototyping and concept development for fast verification of conversational applications. 。
Gemini CLI is a tool designed for developers, providing command-line interfaces that directly expose the functions of Gemini API. It has focused on the capabilities of programming, automation and flexible integration since the beginning of design. It is highly controllable. Developers can accurately control various parameters of the model, such as temperature, top_p, top_k through CLI or Python function libraries, and can process multimodal inputs (such as pictures), and even use function calls to further expand the model's action capabilities. In addition, Gemini CLI adopts modular design, like Lego bricks in the hands of developers, which can be easily embedded in existing workflows, scripts, automation systems or large-scale applications. It not only supports text generation, but also produces program codes and text files, and processes complex input and output structures. Through CLI, developers can also have more direct contact with the underlying Gemini model, which is particularly important for application scenarios that require highly customized and optimized AI Agent behavior.
Gemini CLI has several features that make it an ideal tool for developing AI Agents. First, in terms of automation and scripting, it allows developers to easily embed AI model calls into any script to achieve a task execution process without manual intervention. Its meticulous parameter control function provides extremely high degree of freedom for the behavioral adjustment of AI Agent, and can flexibly adjust the model's response method according to task requirements. For applications that require processing multiple data types, The model behind Gemini CLI also supports powerful multimodal capabilities, which can understand and generate text, pictures, PDFs, and codes (more than videos and audio are supported yet). Furthermore, its function call function is more critical, allowing the model to decide whether to call external tools or functions based on the situation, such as querying databases, sending emails or executing commands, allowing the AI Agent to truly have the ability to actually perform tasks. . Finally, as a part of the Google AI ecosystem, Gemini CLI is built on a stable cloud infrastructure and is highly integrated with a diverse development toolchain, making deployment and expansion of AI Agents smoother and more scalable.
In short, if your goal is to build an AI Agent that automates tasks, interacts with external systems, and requires highly customized behavior, Gemini CLI is undoubtedly a more appropriate and powerful choice than ChatGPT, which focuses primarily on dialogue.
Gemini CLI is not only a powerful tool at present, it also carries the huge potential to reshape the future AI tool development ecosystem. With the rapid development of AI technology, we are moving from simply “using AI” to “using AI to developing AI Agents and smart tools”. , and Gemini CLI is the key catalyst in this transition.
Here are a few key aspects of how Gemini CLI may affect the future AI development ecosystem:
all in all, Gemini CLI is not just a tool, it is also a critical infrastructure that leads the arrival of the AI Agent era. It will design, construct and deploy next-generation intelligent applications in a more flexible, efficient and creative way to truly reshape the AI tool development ecosystem we know 。
Try downloading Gemini CLI and create your own AI Agent. If you want to experience a more convenient UI interface, you might as well make an appointment to try out our development GenApe AI Agent to explore more possibilities for automation and intelligence integration!
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