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Computer Use OOTB vs Scalaris Atlas

Computer Use OOTB

github.com

Scalaris Atlas

scalarislab.com

Side by side

FigureComputer Use OOTBScalaris Atlas
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYes—
WindowsYesYes
macOSYesYes
Linux—Yes
Self-hostedYes—
Plans published11
Spec score · AI Computer Use Agents8.7 (#2)7.3 (#16)
InstallationThe README instructs users to install Miniconda, use Python 3.12 or newer, install dependencies and start the interface with python app.py.Atlas is installed and supervised through Scalaris Toolbox.
What it doesComputer Use OOTB is an out-of-the-box desktop GUI agent framework for automating computer tasks.Atlas turns a computer into a private AI host that serves local models to compatible clients.

Plans

Computer Use OOTB

  • Open-source softwareFree

Computer Use OOTB pricing →

Scalaris Atlas

  • FreeFree

Scalaris Atlas pricing →

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.

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Scalaris Atlas

Scalaris Atlas is a local deployment that turns a computer into a private host for AI models and serves them to compatible clients. It accepts OpenAI-compatible clients at localhost and exposes routes for chat completions, embeddings, and model lists. Atlas includes Pulsar, while its model manager lets users install their own models. The API covers a strict subset of the OpenAI HTTP surface; unimplemented endpoints return a typed 501 response. Models are served locally, and the maker says nothing leaves the machine. Egress is denied by default, and non-loopback binds are refused unless explicitly enabled. Atlas has no telemetry or phone-home behavior, according to the maker. Scalaris Toolbox installs and supervises it. Configuration is kept in one TOML file and reloads when changed. GPU exhaustion can trigger CPU fallback only with --allow-cpu. It is free forever at free and runs on macOS, Linux, and Windows.

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