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SPECIFICTION
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agent-cu vs open-computer-use

agent-cu

github.com

open-computer-use

github.com

Side by side

Figureagent-cuopen-computer-use
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
API—Yes
Self-hosted—Yes
Plans published11
Spec score · AI Computer Use Agents8.1 (#3)7.8 (#6)
LicenseThe project is released under the MIT license.The repository is distributed under the MIT license.
PermissionsThe tool requires explicit OS accessibility permissions to read and control apps.On macOS 14 or later, the project requires Accessibility and Screen Recording permissions; Windows and Linux work in a signed-in desktop session, with Linux requiring AT-SPI2.

Plans

agent-cu

  • Open sourceFree

agent-cu pricing →

open-computer-use

  • Open sourceFree

open-computer-use pricing →

In their own words

agent-cu

agent-cu is a command-line tool for controlling desktop apps by clicking, typing, and reading interface information. It uses the accessibility tree that screen readers rely on to identify interface elements, then acts on them through references. Commands include snapshots, selectors, clicks, typing, scrolling, dragging, window management, and JSON output. Users can batch commands and reuse YAML workflows. The tool supports Electron apps through CDP, including Slack, Cursor, VS Code, Postman, Discord, and Notion. Its skill can be used with Claude Code, Cursor, Codex, Copilot, OpenCode, Cline, and 40+ other agents. agent-cu runs locally on macOS, Linux, and Windows; precompiled binaries are available for macOS Apple Silicon and Intel, Linux, and Windows. Installation instructions cover npm, pnpm, yarn, and bun. It requires explicit operating-system accessibility permissions to read and control apps. The project is free and MIT licensed. Its repository states that it is no longer maintained and recommends Cua and Cua Driver instead.

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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.

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