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SPECIFICTION
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OpenComputer vs Screenbox

OpenComputer

github.com

Screenbox

screenbox.dev

Side by side

FigureOpenComputerScreenbox
Price from—Free
Free plan—Yes
Free trial——
Open source——
Web—Yes
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYesYes
Self-hosted—Yes
Plans published01
Spec score · AI Computer Use Agents7.2 (#18)7.7 (#12)
IntegrationsThe current model boundary uses an OpenAI-compatible Chat Completions API; dedicated Discord, search, and MCP integrations are listed as future work.It connects to MCP clients including Claude Desktop, Claude Code, and Cursor, and supports stdio, streamable HTTP, and SSE transports.
MakerThe linked GitHub profile identifies the maker as Andrew Krikorian and lists California.The Terms identify Dmytro Klymentiev as the product's developer and maintainer.
PurposeOpenComputer is an open-source, local-first desktop agent that understands the screen and operates applications through mouse and keyboard interactions.Screenbox provides isolated virtual desktops with real browsers and desktop applications for AI agents.

Plans

OpenComputer

No plans published.

OpenComputer pricing →

Screenbox

  • Self-hostedFree

Screenbox pricing →

In their own words

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

Screenbox

Screenbox gives AI agents isolated virtual desktops with real browsers and desktop applications. Each desktop includes Chromium with DevTools and extensions, plus tools such as file managers, terminals, and office applications. Agents can use 21 MCP tools across more than 100 actions, including screenshots, OCR, clicks, typing, shell access, file operations, and clipboard control. It connects to MCP clients including Claude Desktop, Claude Code, and Cursor through stdio, streamable HTTP, or SSE. A web dashboard supports live viewing, agent management, snapshots, session logs, and a knowledge browser. Users can save and restore desktop states, including files and browser sessions, and clone desktops from templates. Activity can be viewed through RDP or noVNC, with mouse and keyboard control available. Desktops run in Docker containers with memory limits, network isolation, and no bind mounts; the maker cautions that they are not hardened sandboxes. The software is self-hosted and open source under AGPL-3.0. The maker says deployment data stays on the user's infrastructure and the software sends no telemetry to Screenbox or third parties. It requires about 2 GB of RAM per desktop and no GPU; idle desktops pause automatically.

Visit screenbox.dev