Computer Use OOTB
6.8#3 in ai computer use agentsFree planFree planWebmacOSSelf-hostedWindows
Visit| Fact | Computer Use OOTB | OpenComputer |
|---|---|---|
| Integrations | The documented API model keys include Anthropic, OpenAI and Qwen; local model setup also references PyTorch and UI-TARS deployment options. | The current model boundary uses an OpenAI-compatible Chat Completions API; dedicated Discord, search, and MCP integrations are listed as future work. |
| License | The repository identifies its license as Apache-2.0. | OpenComputer is licensed under the MIT License, while third-party dependencies and model weights retain their own licenses. |
| Model options | The project supports API-based models and locally running models, including Claude 3.5 Sonnet, GPT-4o, Qwen models, ShowUI and UI-TARS. | It can use a local vision-language model through vLLM or a compatible hosted API. |
| Purpose | Computer Use OOTB is an out-of-the-box GUI agent framework for automating desktop tasks with API-based and locally running models. | OpenComputer is an open-source, local-first desktop agent that understands the screen and operates applications through mouse and keyboard interactions. |
| Supported systems | The README lists Windows and macOS as supported systems. | Build targets are Linux AppImage/deb, Windows NSIS, and macOS DMG; Linux X11 is best supported, while Wayland, Windows, and macOS are experimental. |
| What it does | Computer Use OOTB is an out-of-the-box desktop GUI agent framework for automating computer tasks. | OpenComputer is an open-source desktop agent that understands the screen and can operate applications with mouse and keyboard interactions. |
No prices published.
Computer Use OOTB may suit users seeking to automate desktop tasks with API-based or local models. Users considering it should be prepared to monitor actions and protect access to any public Gradio link.
It may suit users seeking local desktop automation who can supervise its actions and work within its current display and system limits. Users need a compatible model endpoint or a local model through vLLM.