Drive this Mac without taking the cursor.
A menu bar daemon that lets an AI agent see and operate macOS — read text, click buttons, type, scroll, drag, draw — while the human keeps their cursor, their focus, and a kill switch. Every action returns evidence of what observably happened, because accessibility APIs routinely lie about success.
A cursor-taking action while someone is at the machine: the jellyfish marks where the agent is, the prompt waits for a one-second hold on Y or N, and the bezel narrates the action with the shortcut that halts everything.
Ghost input. Most actions are delivered through accessibility and per-process posted events — no cursor movement, no focus change, invisible to the person at the keyboard. The agent works beside you, not instead of you.
Evidence, not return codes. Every action is verified: text is read back after writing,
pixels are compared before and after, window counts are checked, process exits are
detected. The reply says confirmed, noEffect, or unverifiable — and noEffect
(the API said "success" but nothing changed) is the most important one.
The human is never locked out. Cursor-taking actions show a presence overlay — a jellyfish escorting the cursor, a bezel narrating what's happening. Touch the mouse and the gesture yields. Press Ctrl+Option+Shift+Escape and everything stops within one sample (~8 ms). Resume is a button in the menu bar and nothing else — the agent cannot un-halt itself.
A virtual display for isolation. Park a window onto an invisible headless display, work on it there with full hardware input (no occlusion, no screen real estate), put it back. The display exists only while a lease holds it and sweeps every window home on teardown.
Sequence plans. Execute multi-step flows as one daemon-side operation — click, wait for the dialog, type, verify the field — with postcondition guards between steps and failure policies (abort, continue, pause-for-human, fallback). No round-trips between steps means the world can't change mid-sequence.
Diff perception. Read an app's text for a fraction of a screenshot's cost; pass the observation token back and get only what changed — elements appeared, vanished, values moved. Screenshots diff the same way: changed-region crops instead of the whole frame, scroll detection with revealed-edge strips.
Vision when the tree lies. About a sixth of Mac apps expose no usable accessibility
tree. A three-tier cascade covers them: accessibility first, then a local
UI-element detector — a
5.4 MB CoreML YOLOv11n, ~8 ms per window — plus OCR to turn an icon toolbar into
addressable boxes, then a local VLM for the rest. read --ocr and find --ocr return the
parsed rows, and groundedBy on every row says which tier answered.
brew install kageroumado/tap/rocuroniumOr download the DMG from Releases.
Grant Accessibility (required) and Screen Recording (for screenshots and
scroll --until-text OCR) in System Settings > Privacy & Security.
rocuronium status # is the daemon running, what can I see
rocuronium read --app TextEdit # dump the app's text via accessibility
rocuronium click --app Safari --label Done # click a button without touching the cursor
rocuronium type --app Notes --text "hello" # type into the focused field
rocuronium shortcut --app Notes --keys cmd+c # copy the selection (real clipboard, with a verdict)
rocuronium screenshot --app Finder # capture a window (occlusion-proof)
rocuronium mcp # start the MCP server (stdio)Add to your Claude Code config:
{
"mcpServers": {
"rocuronium": {
"command": "/Applications/Rocuronium.app/Contents/Resources/rocuronium",
"args": ["mcp"]
}
}
}All verbs are exposed as MCP tools with the same names and arguments.
| Verbs | |
|---|---|
| Observe | status diag apps windows find read wait screenshot activity |
| Act | type click key shortcut menu scroll statusitem launch activate |
| Cursor | move drag (hardware — takes the real cursor, presence-gated) |
| Orchestrate | plan (multi-step with guards) |
| Isolate | display (virtual display lease) park (move window to it) |
| Meta | busy (hold the presence overlay up while working) demo (practice window) request-capture mcp |
One coordinate frame everywhere: points, origin at the top-left of the main display.
rocuronium --help lists every flag; each MCP tool carries its own contract in its description.
Two invariants hold for every action:
-
The cursor is never taken without opt-in. Ghost delivery (accessibility writes, per-process posted events) is the default. Hardware input — the path that moves the real cursor — requires an explicit flag and is refused while a human is present, while the screen is locked, or while another window covers the target.
-
Every action returns evidence. The three verdicts (
confirmed/noEffect/unverifiable) are the contract. The system exists becauseAXSetValuereports success on WebKit while changing nothing,AXPerformActionreports success on background menus that were never validated, and posted wheel events are silently ignored by every modern toolkit.
The emergency stop (Ctrl+Option+Shift+Escape) halts everything within one cursor sample. Resume is a button in the menu bar popover — no socket command can clear the halt.
Swift 6.2 with strict concurrency and @MainActor isolation by default. A menu-bar app
that holds the Accessibility grant, plus a dependency-free CLI that speaks to it over a
Unix-domain socket. The CLI is also the MCP server.
Apple frameworks
- Accessibility (ApplicationServices) — reading trees,
AXPress/AXSetValuedelivery - CoreGraphics / CGEvent — per-process posted events (ghost input) and cursor paths
- ScreenCaptureKit — occlusion-proof window captures and region diffs
- Vision — on-device OCR (the
scroll --until-textand--ocrpaths) - CoreML — the UI-element detector runs on the Neural Engine (
.cpuAndNeuralEngine) - SwiftUI + AppKit — menu-bar popover and the presence overlay
- Carbon / IOKit / Synchronization — the ⌃⌥⇧⎋ global kill switch, the virtual display, the lock-free cursor-sampling thread
Swift packages
- Propofol — the menu-bar popover UI kit
- mlx-swift + mlx-swift-lm — local VLM inference on Apple silicon
- swift-transformers — HuggingFace Hub model downloads and tokenizers
Vision models
- rocuronium-ui-detector — YOLOv11n trained with Ultralytics on GroundCUA (ServiceNow, Apache-2.0), exported to CoreML, hosted on HuggingFace (Apache-2.0)
- Holo 3.1 4B — GUI-grounding VLM, downloaded on demand and run through MLX
Interface
- Model Context Protocol — every verb exposed as an MCP tool with the same name and arguments
.claude/skills/rocuronium— the agent's operator guide as a Claude Code skill:SKILL.mdplus areference/folder (the reply contract, targeting, acting, vision, plans, presence, isolation). It ships inside the app and the CLI:rocuronium guideprints it (or one reference,rocuronium guide acting),rocuronium guide --installcopies it to~/.claude/skills/rocuronium, and the menu-bar popover offers the same install when the copy there is missing or out of date.rocuronium --help— every command and flag.- Each MCP tool carries its own contract in its description.
CLAUDE.md— architecture and invariants for working on the code.
