Windows Use FAQs

Question 1

Does Windows Use require a complex setup or virtual environments?

Accepted Answer

No, Windows Use is designed for simplicity. It has a 'zero config headache' approach, requiring just a single `npm install` and an API key setup. It runs entirely in user space, uses your real Chrome browser (with existing cookies and extensions), and avoids Docker, sandboxes, or virtual displays.

Question 2

What kind of LLMs can I use with Windows Use?

Accepted Answer

Windows Use is highly flexible and compatible with any OpenAI-compatible model. This includes popular local models like Qwen, DeepSeek, and Ollama, as well as cloud-based options like GPT-4o-mini, ensuring you can leverage the best model for your budget and needs.

Question 3

Can Windows Use integrate with other AI tools or clients?

Accepted Answer

Yes, Windows Use offers seamless integration via its MCP server mode. This allows it to act as a drop-in tool for popular MCP clients like Claude Desktop and VS Code (Claude Code / Copilot Chat), enabling LLMs within those environments to leverage its powerful automation capabilities.

Question 4

What is Windows Use and how does it reduce LLM costs?

Accepted Answer

Windows Use enables large language models (LLMs) to delegate complex Windows and browser automation tasks to smaller, more cost-effective LLMs. This 'big model directs, small model executes' architecture drastically reduces context window usage by offloading expensive screenshot analysis, saving up to 90% of token costs.

Question 5

What capabilities does the small model agent have?

Accepted Answer

The small model agent has access to 16 robust built-in tools. These include comprehensive screen capture with coordinate grids, mouse and keyboard operations, full browser automation (navigation, clicks, typing, content extraction), file I/O, and shell command execution, allowing for diverse and complex task automation.

Windows Use

Windows Use

Key Features

Use Cases

Key Features

Use Cases