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Open Computer Use running inside chat.yambr.com — the model drafting a .docx cover letter with live file preview

What is Open Computer Use?

An MCP server that gives any LLM a fully-equipped Ubuntu sandbox in its own Docker container. Think of it as your AI’s computer — it can do everything a developer can do:
  • Execute code — bash, Python, Node.js, Java, Bun
  • Create documents — Word, Excel, PowerPoint, PDF with professional styling via skills
  • Browse the web — Playwright + live CDP browser streaming (you see what the AI sees, in real time)
  • Run Claude Code — autonomous sub-agent with an interactive terminal; MCP servers auto-configured
  • Use 13+ skills — battle-tested workflows for document creation, web testing, design, and more
Each chat session runs in its own isolated Docker container. Works with any MCP-compatible client: Open WebUI, Claude Desktop, LiteLLM, n8n, or your own integration.

Two ways to use it

Managed on Yambr

Get an API key at app.yambr.com, point any OpenAI-compatible client at api.yambr.com, or just open chat.yambr.com and start chatting. No servers to run.

Self-hosted

Clone the repo, docker compose up. BSL 1.1 / Apache 2.0 / MIT. Tested in production with 1,000+ MAU.

Try it in 60 seconds

1

Open chat.yambr.com

Sign in to chat.yambr.com — a hosted Open WebUI with Computer Use already wired up.
2

Ask for something real

“Create a professional cover letter in .docx for a Senior Software Engineer applying to a startup.”
The model picks the right skill, writes the file inside its sandbox, and a preview appears inline. Download, share, iterate.
3

Grab an API key (optional)

Want to drive it from code? Get a key at app.yambr.com and point your OpenAI SDK at https://api.yambr.com. See Yambr LiteLLM gateway.

Learn more

Yambr Platform

The four services — api, app, chat, cu — and how they fit together.

Architecture

What’s inside the sandbox, how chats get isolated, how MCP is wired.

Skills reference

13 built-in skills (docx, xlsx, pptx, pdf, playwright, sub-agent, …) plus 14 examples.

Integrations

Open WebUI, Claude Desktop, LiteLLM, n8n, or any MCP-over-HTTP client.