I built a macOS clone in the browser with a single prompt

Reddit r/artificial Models

Summary

MiMo-V2.5-Pro can generate a fully functional macOS desktop clone in the browser from a single prompt, demonstrating strong context retention for complex agentic tasks. It is open-source under MIT License and leads in efficiency on ClawEval.

I gave MiMo-V2.5-Pro a single prompt and it built a full macOS Sequoia clone in the browser. Here's my honest take as someone who uses agentic coding daily. The prompt was straightforward: *"A pixel-perfect macOS Sequoia desktop clone built entirely in the browser. Interactive window management, 54 native-style apps, Dock with physics-based magnification, Spotlight, Launchpad, and a working Safari browser."* And it delivered. A fully functional macOS UI running in the browser, complete with a working Dock, app windows, Spotlight, and Launchpad all rendered from a single prompt. You can see the result in the screenshots above. **Why this matters for agent workflows:** The hardest part of agentic coding isn't raw capability, it's context retention across long, complex tasks. MiMo-V2.5-Pro held the full spec across the entire session without drifting or losing track of the original instructions. That's the thing that breaks most models on real projects. I ran this through OpenCode. Setup was trivial since the model exposes OpenAI-compatible endpoints, so it dropped straight into my existing stack. **The open-source angle:** MIT License. You can use their API or self-host. For teams building agent pipelines that need a capable model without vendor lock-in, this is worth evaluating. On ClawEval it leads the open-source field while using significantly fewer tokens than comparable frontier models. For long agentic runs, that efficiency compounds fast. **Bottom line:** Not a toy. If you're running serious agent workflows, give it a real test.
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