No. 18 of 24 ·AI Computer Use Agents

OpenComputer

Windows · Mac · Linux · API

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Freedom report

One barScore 5.3

Free tierNo free tier on record
Open codeNo open-source code on record
Runs widely3 of 6 device platforms
DocumentedThinly documented

OpenComputer is ranked #18 of 24 in AI computer use agents on Freedom251. It runs on API, Linux, macOS, Windows.

Compared on AI computer use agents

Desktop app control: Yes
Supported platforms: Linux, Windows, macOS
Screen understanding: Yes
Deployment: local
Human approval controls: Yes

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The record

Purpose: OpenComputer is an open-source, local-first desktop agent that understands the screen and operates applications through mouse and keyboard interactions.
Model options: It can use a local vision-language model through vLLM or a compatible hosted API.
API compatibility: The configured endpoint must support image inputs, function tools, and the model’s tool-call format.
Desktop controls: It supports clicking, dragging, scrolling, text entry, keyboard shortcuts, opening URLs, and waiting for UI changes.
Action review: Ask first is the default permission mode and requires approval for mouse, keyboard, and URL actions; Automatic mode runs actions without individual prompts.
Supported systems: Build targets are Linux AppImage/deb, Windows NSIS, and macOS DMG; Linux X11 is best supported, while Wayland, Windows, and macOS are experimental.
Display limit: The current agent operates only the primary display, and multi-monitor automation is on the roadmap.
Credential storage: API keys are stored in the per-user application-data directory with user-only file permissions, but are not yet backed by the operating-system keychain.
Privacy and security: The README says screenshots, prompts, and tool results can stay on the user's machine, and that credentials, screenshots, model calls, and automation remain in Electron's main process.
Project maturity: The project describes itself as early alpha and warns that desktop actions should be supervised, especially around sensitive or irreversible workflows.
Security reporting: The security policy asks users to report vulnerabilities privately and says reports should receive an initial response within seven days, though response times may vary because it is a volunteer project.
Maker: The linked GitHub profile identifies the maker as Andrew Krikorian and lists California.

Where it ranks on Freedom251

Best AI Computer Use Agents in 2026#18 of 24

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Sources

github.com/andykr1k/OpenComputer· checked 7 Oct 2026
github.com/andykr1k/OpenComputer/blob/main/SECURIT· checked 7 Oct 2026
github.com/andykr1k· checked 7 Oct 2026