https://cli.iflow.cn/?
https://github.com/iflow-ai/iflow-cli
1. Introduction#
iFlow CLI is a powerful AI assistant that runs in the terminal. It can seamlessly analyze code repositories, execute programming tasks, and understand context-specific requirements, significantly enhancing development productivity through automation of various tasks from simple file operations to complex workflows. Its architecture is built on Node.js applications, integrating multiple AI models and MCP servers. The installation script handles Node.js installation (if not already installed), npm global directory setup, iFlow CLI package installation, and MCP server configuration, while supporting multiple languages through the i18 directory structure and providing rich customization options.
2. Features#
- Free AI Models: Access powerful free AI models through the iFlow open platform, including Kimi K2, Qwen3 Coder, DeepSeek v3, etc.
- Flexible Integration: Fully supports model providers under the OpenAI protocol, allowing users to choose and integrate based on their needs.
- Intuitive Interface: Provides a streamlined terminal experience with context-aware assistance, making user operations more convenient and efficient.
- Out-of-the-box Assistant: Pre-configured MCP servers and professional agents work together to directly solve complex problems without requiring users to go through cumbersome initial setups.
3. Installation#
3.1 System Requirements#
- Operating System: macOS 10.15+, Ubuntu 20.04+/Debian 10+, or Windows 10+ (using WSL 1, WSL 2, or Git for Windows)
- Hardware: 4GB+ RAM
- Software: Node.js 18+
- Network: Internet connection required for authentication and AI processing
- Shell: Best used in Bash, Zsh, or Fish
3.2 Installation Process#
Run the following command in the terminal for one-click installation:
bash -c "$(curl -fsSL https://cloud.iflow.cn/iflow-cli/install.sh)"
During the installation process, you will be prompted to choose an authentication method for the model; here I chose iFlow, which is the first option. Then you will be asked to enter the API Key, which can be obtained directly from the iFlow official website and is currently free to use. After entering the API Key, select the model; here I chose Qwen3-Coder-480B-A35B. This completes the installation, and you can directly type iflow in the terminal to start the AI assistant.
4. Experience#
Let's conduct a few feature tests.
4.1 Automatically Organizing the Desktop#
Before organizing, my desktop looked like this, with over 100 different types of files. Next, let's have the AI assistant help us organize the desktop by entering:
Help me organize the desktop by putting similar types of files in one folder.
Then press enter to start execution. After thinking for a while, it completed the task.
4.2 Automatically Deploying a Docker Service#
Here, I asked the AI assistant to deploy a practical open-source document management system: Paperless-Ngx. I entered the following command:
Help me deploy a Paperless-ngx system using Docker.
After pressing enter, it began to think through the execution logic. The tool automatically created a docker-compose.yml, pulled the images, and successfully deployed a Paperless-Ngx system, which can also be accessed normally.
4.3 Creating a PPT#
Next, let's have the AI tool automatically create a PPT for us. I entered the following prompt:
Help me create a PPT about large model intelligent agents and save it to the desktop.
You can clearly see the execution process, and finally, a PPT was generated on the desktop, along with accompanying Markdown content.
5. Conclusion#
As a terminal-based AI assistant, iFlow CLI offers great convenience to developers with its rich features and easy installation and usage. It supports various free AI models, can flexibly integrate various resources, and its intuitive interface simplifies operations. The out-of-the-box features lower the usage threshold. Whether handling new projects or existing ones, whether for development support or workflow automation, iFlow CLI plays an important role in helping developers enhance work efficiency, making it a valuable assistant in the development process.