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SPECIFICTION
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MAX ScreenControl vs OpenComputer

MAX ScreenControl

maxscreencontrol.com

OpenComputer

github.com

Side by side

FigureMAX ScreenControlOpenComputer
Price from$29/mo—
Free plan——
Free trialYes—
Open source——
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Plans published50
Spec score · AI Computer Use Agents7.7 (#9)7.2 (#18)
MakerThe site footer identifies Key Network Services Ltd. as the copyright holder.The linked GitHub profile identifies the maker as Andrew Krikorian and lists California.
PurposeMAX ScreenControl deploys AI agents that can see and control desktop applications for automation, testing, and remote management.OpenComputer is an open-source, local-first desktop agent that understands the screen and operates applications through mouse and keyboard interactions.

Plans

MAX ScreenControl

  • TrialFree
  • Solo$29 a month
  • Team$99 a month
  • Business$199 a month
  • EnterprisePriced on request

MAX ScreenControl pricing →

OpenComputer

No plans published.

OpenComputer pricing →

In their own words

MAX ScreenControl

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

Visit maxscreencontrol.com

OpenComputer

OpenComputer is a free, MIT-licensed open-source desktop agent that runs locally and uses screen understanding to operate applications through mouse and keyboard actions. It can click, drag, scroll, enter text, use shortcuts, open URLs, and wait for interface changes. The agent can connect to a local vision-language model through vLLM or to a hosted API; the endpoint must accept image inputs, function tools, and the model’s tool-call format. Ask first is the default permission mode and requests approval for mouse, keyboard, and URL actions, while Automatic mode runs them without individual prompts. Build targets include Linux AppImage and deb packages, Windows NSIS, and macOS DMG. Linux X11 is best supported; Wayland, Windows, and macOS are experimental. The current agent operates only on the primary display. Screenshots, prompts, and tool results can remain local. API keys use user-only file permissions but are not stored in the operating-system keychain. The project describes itself as early alpha and recommends supervision for sensitive workflows.

Visit github.com