Computer Use OOTB

Overview

Computer Use OOTB is a desktop-automation framework that lets configurable AI models operate a computer through its graphical interface. It is best suited to technically comfortable users who want a choice of cloud or local models and remote command access. Its flexibility is useful, but installation, hardware requirements and the need to supervise actions make it a poor fit for unattended automation.

Key features

Choose how the agent plans and acts

The project supports Claude 3.5 Sonnet, GPT-4o, Qwen models, ShowUI and UI-TARS. Users can configure one model for both reasoning and control, or assign separate models to planning and on-screen actions. That makes it possible to tailor the setup, though users must choose and configure the model path themselves.

Local models run on the user's device without API charges. For ShowUI, that option has substantial hardware requirements: Windows users need a CUDA-capable NVIDIA GPU with at least 6 GB of GPU memory, while macOS users need an M1-or-newer Apple Silicon Mac with at least 16 GB of unified RAM. API models avoid those local inference demands, but a task using Claude 3.5 Computer Use may cost a few dollars.

Interface and remote access

Computer Use OOTB provides a Gradio interface and does not require Docker. Commands can also come from a mobile browser, so users can control the computer running the framework without installing a mobile app. That convenience carries a serious exposure risk: anyone with the generated public Gradio link may be able to control the computer, and the project warns users not to share it.

Installation and safety

Getting started requires Miniconda, Python 3.12 or newer and dependency installation before launching the interface with python app.py. The project warns that models can take unintended or potentially harmful actions and recommends monitoring them. This is not a sensible choice for users who need an agent to operate a computer without oversight.

Pricing

The open-source software plan costs nothing and is licensed under Apache-2.0. It includes the framework for Windows and macOS and supports API-based or locally running models. There are no paid tiers or seat limits stated for the software. The free price does not remove the possible cost of API usage: Claude 3.5 Computer Use tasks may cost a few dollars each. Local inference avoids API costs, but requires compatible hardware and the setup work described above.

Platforms

The supported operating systems are Windows and macOS. The framework is self-hosted, with a web-based Gradio interface; mobile browser access is for sending commands remotely, not a separate mobile app. The project describes its deployment as hybrid, reflecting its support for both API services and local models.

Who it's for

Computer Use OOTB is a good fit for developers and technically capable users who want to configure model roles, run local inference where hardware allows, or send commands to a desktop from a mobile browser. It is less appropriate for people seeking a conventional, ready-to-use desktop app, users without the required setup environment, or anyone unwilling to monitor an AI agent's computer actions.

Pros and cons

• Pro: Supports several API and local model options, with the choice to separate planning from execution.
• Pro: Local inference avoids API charges, and remote commands work through a mobile browser without a dedicated app.
• Pro: The project is Apache-2.0 licensed and does not require Docker.
• Con: Installation requires Miniconda, Python 3.12 or newer and dependency setup, rather than a simple app installation.
• Con: ShowUI local runs require a capable GPU on Windows or a recent Apple Silicon Mac with at least 16 GB unified RAM.
• Con: API tasks can cost a few dollars, and model actions need monitoring because they may be harmful or unintended.
• Con: A public Gradio link may let anyone who has it control the computer, so it must not be shared.

Alternatives

For a broader comparison of this software category, browse AI Computer Use Agents.

Choose QuickDesk instead if you want a free, MIT-licensed open-source option described as having no feature restrictions or connection limits. agent-cu is another free, locally running open-source option, with zero per-action cost. Consider open-computer-use if you want an MIT-licensed local option that supports Linux as well as macOS and Windows.

Screenbox is a free, self-hosted open-source alternative. Clawd Cursor is another free open-source option. Claude Code, Gemini and Lapu AI are alternatives; choose among them according to your needs.

Verdict

Choose Computer Use OOTB if you can handle a Python-based setup and want model flexibility, local inference options or remote browser commands at no software charge. Its strongest reason to choose it is the control it offers over model roles and deployment; its strongest reason to look elsewhere is the combination of setup and hardware demands with computer-control risks that require ongoing supervision.