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Clawd Cursor vs DesktopCtl

Clawd Cursor

clawdcursor.com

DesktopCtl

desktopctl.com

Side by side

FigureClawd CursorDesktopCtl
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYes—
macOSYesYes
LinuxYes—
Self-hostedYes—
Plans published11
Spec score · AI Computer Use Agents8.0 (#5)7.6 (#13)
LicenseThe site identifies Clawd Cursor as MIT licensed.The homepage identifies DesktopCtl as open source under the MIT License.

Plans

Clawd Cursor

  • Clawd CursorFree

Clawd Cursor pricing →

DesktopCtl

  • Free and open sourceFree

DesktopCtl pricing →

In their own words

Clawd Cursor

Clawd Cursor gives AI agents local control of desktop applications for GUI tasks where a native API or command-line interface is unavailable. It builds a screen map from accessibility data and OCR, assigning stable element IDs and confidence scores; screenshots are used only when needed. Agents can click and type, and actions can be checked against an expected outcome. The maker says every tool call goes through one safety layer and describes the software as local, localhost-only by default, and without telemetry. It supports Windows, macOS 12 or later, and Linux X11 or Wayland. Connections use stdio MCP or an HTTP MCP daemon at 127.0.0.1:3847/mcp. Listed hosts include Claude Code, Cursor, Windsurf, OpenClaw, and Zed. The tool offers seven recommended compound tools and 98 granular tools for compatibility and debugging; the maker says it works with any model. It is free and MIT licensed. Installation requires Node.js 20 or later. Desktop control needs one-time consent; macOS also requires Accessibility permission, while Screen Recording is optional for vision fallback.

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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.

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