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SPECIFICTION
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Atomic vs open-computer-use

Atomic

github.com

open-computer-use

github.com

Side by side

FigureAtomicopen-computer-use
Price from$15/moFree
Free plan—Yes
Free trial——
Open source——
Windows—Yes
macOS—Yes
Linux—Yes
API—Yes
Self-hostedYesYes
Plans published11
Spec score · AI Computer Use Agents7.7 (#7)7.8 (#6)
PurposeAtomic describes itself as an open-source, priority-driven AI scheduler for solving time and scheduling problems.Open Computer Use is a local MCP server that lets AI agents inspect and operate desktop apps through accessibility interfaces.

Plans

Atomic

  • Customized Atomic for your team on your cloud$15 a month

Atomic pricing →

open-computer-use

  • Open sourceFree

open-computer-use pricing →

In their own words

Atomic

Atomic has no write-up on Specifiction yet; its figures are above.

Visit github.com

open-computer-use

open-computer-use is a free, MIT-licensed local MCP server that lets AI agents inspect and operate desktop applications through accessibility interfaces. Its nine core tools cover app discovery, accessibility-tree and screenshot capture, clicking, scrolling, dragging, typing, key presses, secondary actions, and control-value changes. The project says it runs entirely on the user’s machine and uses the accessibility layer for core app actions without taking over the physical mouse and keyboard. Setup documentation covers Codex CLI and App, Claude Code, Gemini CLI, and opencode, with manual configuration for other MCP clients. A ZCode plugin installs the skill and connects an MCP server. macOS 14 or later requires Accessibility and Screen Recording permissions. Windows and Linux use a signed-in desktop session, and Linux requires AT-SPI2. Additional window-level tools are currently available on Windows, while macOS and Linux support is in progress. Password managers are refused; app launching, focus changes, and global input injection require explicit environment-variable gates. The project warns that high-privilege automation should be used only on authorized machines.

Visit github.com