Computer Use OOTB vs OpenComputer
Computer Use OOTB
github.comOpenComputer
github.comSide by side
| Figure | Computer Use OOTB | OpenComputer |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 0 |
| Spec score · AI Computer Use Agents | 8.7 (#2) | 7.2 (#18) |
| 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. |
Plans
In their own words
Computer Use OOTB
Computer Use OOTB is an open-source framework for automating desktop tasks through a graphical interface, using API-based or locally running models. It supports Windows and macOS and provides a Gradio interface without requiring Docker. Users can configure one model for a task or separate models for planning and computer control; listed options include Claude 3.5 Sonnet, GPT-4o, Qwen models, ShowUI, and UI-TARS. Local inference can avoid API costs, though a task using Claude 3.5 Computer Use may cost a few dollars. Setup requires Miniconda, Python 3.12 or newer, dependency installation, and starting the interface with `python app.py`. ShowUI local runs require a CUDA-enabled NVIDIA GPU with at least 6 GB of GPU memory on Windows, or an M1-or-newer Apple Silicon Mac with at least 16 GB unified RAM. A mobile browser can send commands to the computer running the software. The project uses an Apache-2.0 license. Its README warns that model actions can be unintended or harmful and recommends monitoring them; anyone with a public Gradio link may be able to control the computer.
OpenComputer
OpenComputer is a free, MIT-licensed open-source desktop agent that runs locally and uses screen understanding to operate applications through mouse and keyboard actions. It can click, drag, scroll, enter text, use shortcuts, open URLs, and wait for interface changes. The agent can connect to a local vision-language model through vLLM or to a hosted API; the endpoint must accept image inputs, function tools, and the model’s tool-call format. Ask first is the default permission mode and requests approval for mouse, keyboard, and URL actions, while Automatic mode runs them without individual prompts. Build targets include Linux AppImage and deb packages, Windows NSIS, and macOS DMG. Linux X11 is best supported; Wayland, Windows, and macOS are experimental. The current agent operates only on the primary display. Screenshots, prompts, and tool results can remain local. API keys use user-only file permissions but are not stored in the operating-system keychain. The project describes itself as early alpha and recommends supervision for sensitive workflows.