Open Computer Use FAQs

Question 1

What is the 'skills system' and how does it benefit users?

Accepted Answer

The powerful, model-agnostic skills system includes 13+ built-in workflows for common tasks like web testing, document co-authoring, and design. Users can also create custom skills, which are reusable across any connected LLM, enabling efficient automation of complex workflows.

Question 2

What core capabilities does Open Computer Use add to an LLM?

Accepted Answer

It allows LLMs to execute code in multiple languages (Bash, Python, Node.js, Java), browse the web live with real-time visualization, create professional documents (Word, Excel, PowerPoint, PDF), and manage autonomous sub-agents like Claude Code for complex task delegation.

Question 3

How does Open Computer Use enhance AI development for developers?

Accepted Answer

It provides a secure, interactive environment for AI to perform real-world actions, crucial for advanced AI agent development. Developers can delegate complex tasks, test web applications, build production-grade UIs, and integrate AI seamlessly into various workflows without external API limitations.

Question 4

What is Open Computer Use?

Accepted Answer

Open Computer Use is an open-source MCP server that equips any Large Language Model (LLM) with a fully-featured, sandboxed Linux computer environment. It uses isolated Docker containers to provide capabilities like code execution, web browsing, and document creation.

Question 5

Is Open Computer Use self-hosted and compatible with all LLMs?

Accepted Answer

Yes, Open Computer Use is designed for self-hosting and is fully open-source. It is model-agnostic and compatible with any OpenAI-compatible LLM or other MCP-enabled clients (e.g., Open WebUI, Claude Desktop, LiteLLM) through its standard MCP integration.

Open Computer Use

Open Computer Use

Key Features

Use Cases

Key Features

Use Cases