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Is Gemini CLI compatible with Windows/macOS/Linux?

Yes, Gemini CLI is fully compatible with Windows, macOS, and Linux, providing cross-platform support that makes it accessible to developers regardless of their preferred operating system. The tool is built using Node.js, which ensures consistent behavior across all major platforms, and Google has specifically designed it to work natively on each operating system without requiring complex workarounds or compatibility layers. This cross-platform approach contrasts with some competing tools that may have limitations or require additional setup on certain platforms.

One of the significant advantages of Gemini CLI’s cross-platform design is its native Windows support. Unlike some AI development tools that require Windows Subsystem for Linux (WSL) or other compatibility solutions, Gemini CLI runs directly on Windows without additional configuration. This native Windows support makes it particularly valuable for enterprises and development teams that work in mixed-platform environments or have Windows-centric infrastructure. The tool works seamlessly with Windows Command Prompt, PowerShell, and other Windows terminal environments, providing the same functionality and performance as on Unix-based systems.

The installation process is consistent across all platforms, requiring only Node.js version 18 or higher as a prerequisite. Whether you’re using npm on Windows, macOS, or Linux, the installation commands remain the same, and the tool provides identical functionality across platforms. The CLI automatically adapts to platform-specific conventions for file paths, system commands, and terminal behavior while maintaining a consistent user experience. This cross-platform compatibility extends to the tool’s integration capabilities, including MCP server support, file system operations, and shell command execution, ensuring that development workflows remain portable across different operating systems. The consistent cross-platform experience makes Gemini CLI particularly valuable for teams that work in heterogeneous environments or developers who switch between different operating systems for various projects.

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