Computer Use

September 19, 2026 ยท View on GitHub

This is the Computer Use plugin included in Codewhale. The Engine embeds the runtime bundle, discovers it through the existing plugin registry, and runs only the copy the user has reviewed and enabled. Codewhale Apps uses that same Engine inventory and approval flow.

The bundle provides the current consolidated MCP tools for application and window observation, accessibility actions, screenshots and zoom, keyboard and pointer input, clipboard access, recording, and switching between registered computers. Implementation exists for macOS, Windows, Linux and HarmonyOS target devices; platform support still depends on the tools, OS grants and actual device verification described by the upstream project. A source build is not a published or certified release. The bundled plugin is enabled on macOS only while Windows and Linux ports are being qualified. Their raw input uses the shared desktop; they do not yet provide equivalent background control or qualified native installers. HarmonyOS and SSH also require separate device and workflow evidence.

Included runtime

macOS Codewhale builds carry the compiled native helper. Using the included plugin needs neither a separate Computer Use app nor a compiler. It uses the permission identity of its hosting Codewhale app or terminal. Accessibility and Screen Recording grants remain controlled by the user in System Settings. Use request_access to inspect readiness; a loaded plugin alone does not prove its OS permissions work.

When the standalone Computer Use helper is registered, it owns local input even when Codewhale carries an embedded native helper. Version 0.11.2 keeps its whale menu, permission setup, disposable background check and human Pause/Stop controls, and retires the daemon when its native owner disappears. A registered helper that cannot start causes a clear error; the client does not silently bypass its controls. Without a registered standalone app, the included helper remains available under the host's permission identity.

The MCP server requires Node.js 20 or newer. Codewhale Apps packages its own Node runtime; the CLI uses Node on PATH. Homebrew declares the dependency; Cargo and direct binary users can install Node from https://nodejs.org/. Linux also needs the appropriate X11 or Wayland utilities and AT-SPI bindings. Windows uses PowerShell and UI Automation. Linux and Windows recording is currently unavailable until recorder ownership and shutdown cleanup are built. HarmonyOS targets require a connected device and hdc.

Persistent holds and drags on Linux and Windows currently require the separate session-aware Computer Use helper. Their direct bundled path refuses these operations before sending input. macOS carries its native input owner in the included bundle. Real Windows, Wayland and mixed-display validation is still required before claiming equivalent platform readiness. SSH and Docker use persistent session transports; real remote workflows still need target-specific acceptance. The embedded Docker build context supports first-use creation of a task-owned Linux desktop when a compatible daemon is available.

Control and session ownership

Select an application before sending input. On macOS, background selection (activate:false) supports process-directed typing and accessibility actions. It refuses gestures and keyboard shortcuts that would borrow the user's keyboard focus or move the shared pointer. Some Unicode and hosted-panel typing also refuses rather than taking a focus lease. Explicit foreground selection (activate:true) enables guarded shared-desktop input when the user has authorized exclusive desktop use. Neither mode is an isolated computer; cursor restoration does not make concurrent pointer control safe. Screenshots and zoom return actual image content to compatible vision models. The nonactivating preview is on by default after binding; recording is explicit. Application observations return a concise default summary; request full detail when needed. Text-only models can use element roles, values and advertised actions. On macOS, optional local OCR enriches the selected window observation with text and raster bounds; it requires Screen Recording permission and does not invent accessibility elements or actions. The Engine permits one inline image up to 5 MiB per tool result; use a scoped capture or zoom when a larger image receives an omission receipt.

Each task owns its MCP connection and computer selection, observations and held input. Subagents within that task share the task's Computer Use session. Stopping control or closing the task releases that session's input. Stale observations, unexpected foreground changes and unavailable capabilities fail closed with a receipt; successful dispatch still needs application-state verification.

Development

The exact upstream source revision is recorded beside this directory in computer-use.upstream-sha. This tree contains the runtime and its tests; standalone app installers and release tooling belong to the upstream project.

Run npm test here for unit and protocol coverage. Those tests do not type or click in the user's applications. npm run smoke is a separate legacy live check: it captures and records the selected display, so run it only when that capture is intended. The upstream parity suite contains scoped application fixtures for interactive verification.

On macOS, ordinary observations follow the selected background app. Field focus, selection, context menus and scrolling use supported accessibility operations; raw mouse gestures stop if the user changes foreground apps. Arbitrary background dragging remains unavailable. Rebuild Core to include the updated native helper; updating a separate marketplace checkout alone does not update an already-installed Core binary.

This embedded source matches canonical 9a261c4. Windows controlled-desktop acceptance passed in upstream CI; signed Windows distribution, mixed-DPI/raw input and continuous keyboard coexistence remain unqualified. Core discovery and materialization tests do not constitute an installed model-driven trial.