Computer Use OOTB vs DesktopCtl
Computer Use OOTB
github.comDesktopCtl
desktopctl.comSide by side
| Figure | Computer Use OOTB | DesktopCtl |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | — |
| macOS | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 1 |
| Spec score · AI Computer Use Agents | 8.7 (#2) | 7.6 (#13) |
| Installation | The README instructs users to install Miniconda, use Python 3.12 or newer, install dependencies and start the interface with python app.py. | The repository gives an install command that downloads the latest release and places the CLI at ~/.local/bin/desktopctl and the app at ~/Applications/DesktopCtl.app. |
| License | The repository identifies its license as Apache-2.0. | The homepage identifies DesktopCtl as open source under the MIT License. |
| Purpose | Computer Use OOTB is an out-of-the-box GUI agent framework for automating desktop tasks with API-based and locally running models. | DesktopCtl is a local launcher and CLI for AI agents to observe and control a computer using its screen, mouse, and keyboard. |
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.
DesktopCtl
DesktopCtl is a macOS launcher and command-line interface for AI agents that observe and control a computer through its screen, mouse, and keyboard. It works with any desktop application without app integrations or APIs, and accepts any CLI-capable agent and AI model, including local LLMs. Local GPU-accelerated text recognition and computer vision capture interface content and extract structured information. Deterministic CLI actions include clicking, typing, and waiting. The keyboard-first launcher shows active-window context and can run or resume sessions with multiple local agents. The maker says recognition runs locally, screenshots remain local by default, and a visual indicator appears during screen, mouse, or keyboard access. Operating-system permissions are granted only to DesktopCtl. It is open source under the MIT License, deployed locally, free to use, and currently supports macOS on Apple Silicon only. Release builds use an ad-hoc signature and are not Developer ID signed or notarized.