agent_aid 1.6.1

Local Windows desktop control for AI agents — Python library and CLI.

agent-aid

A small Python library and CLI to control the local Windows desktop from AI agents. Open Interpreter, GPT, Claude, or your own agent — call agent-aid to read the screen, drive mouse and keyboard, manage windows, and find UI elements by their accessibility name (no coordinate guessing). Two dependencies: mss (screen capture) and uiautomation (UI tree).

pip install agent-aid

With uv (recommended — installs Python automatically if needed):

uv tool install agent-aid --python 3.11

Quick look

agent-aid health
agent-aid state
agent-aid screenshot active_window=true save_path=captures/active.png include_base64=false
agent-aid click x=500 y=300
agent-aid type text="hello"
agent-aid press keys=ctrl+s
agent-aid focus_window title_fragment=Chrome
agent-aid open target=https://example.com

List every route:

agent-aid --list

Print the full AI-oriented usage spec to stdout (markdown):

agent-aid --readme

Capabilities

• Screenshots: full desktop, single monitor, active window, specific hwnd, or rectangular region
• PNG sha256 hash returned for every screenshot (use with wait_screen_change)
• Mouse: click, double-click, right-click, drag, move, scroll (vertical/horizontal), hold buttons
• Drag with optional pre_hold_ms, post_hold_ms, steps for finicky shape/preview UIs
• Keyboard: short text, hotkeys (ctrl+shift+a), modifier hold/release
• Clipboard: clipboard text=... + press keys=ctrl+v for long pastes
• Windows: find, focus, minimize/maximize/restore/close, move/resize, hide/show
• UI Automation: find/click elements by accessibility name (no coordinate guessing)
• System: list processes, open file/URL/shell: target, read pixel color, query state
• Verify: wait_screen_change, wait_pixel, wait_window
• batch for atomic multi-step flows in a single CLI call

UI Automation (recommended over raw coordinates)

# Find an element by partial name match (case-insensitive)
agent-aid ui_find name="Save"
agent-aid ui_find name="Yapıştır" control_type=Button hwnd=12345

# Find + click in one call
agent-aid ui_click name="OK"

# Read the text/value of a control
agent-aid ui_text automation_id="UrlBar" hwnd=12345

# Dump the accessibility tree for exploration
agent-aid ui_dump hwnd=12345 max_depth=4 limit=100

Works on Paint, Office, Edge, Chrome, native Win32, and most modern UWP apps. Selector args: name (partial), control_type, automation_id (exact), class_name (partial), hwnd (root scope), max_depth, timeout_ms.

Targeting windows / coordinates

All coordinates are physical screen pixels. To work relative to a specific window:

agent-aid click x=120 y=80 relative_to=active_window
agent-aid click x=120 y=80 hwnd=123456

Use as a Python library

from agent_aid import core

core.set_dpi_aware()
print(core.active_window())
core.click(800, 500)
core.type_text("hello")

Same capabilities as the CLI — just call the core module directly from your Python code.

Argument formats

# key=value (shortest)
agent-aid click x=500 y=300 button=left

# JSON (for nested fields)
agent-aid screenshot '{"region":{"left":0,"top":0,"width":800,"height":600},"save_path":"r.png"}'

# Pretty-print output
agent-aid --pretty state

Practical AI agent flow

1. agent-aid state — see what you're looking at
2. agent-aid screenshot active_window=true save_path=captures/now.png include_base64=false
3. Inspect the image, choose target coordinates
4. Act: click / type / press / clipboard
5. Verify: another screenshot or wait_screen_change

Safety notes

• Sends real mouse and keyboard input — types into the focused window.
• clipboard overwrites the user's clipboard.
• open launches a Windows target (same effect as a user double-click).
• window/manage close posts WM_CLOSE — apps with unsaved data may prompt.
• After any action, prefer to verify with wait_* or a fresh screenshot.

License

MIT.