build ai agents fast! hello world MCP server template that controls computer with basic SDK primitives
ai function calling for all sdk computer control primitives
programmatically launch any application on your system through simple api calls
access and extract text and ui elements from any application window
perform precise mouse clicks on any ui element or screen coordinate
enter text into any field or application with full unicode support
execute keyboard shortcuts and key combinations to control applications
you've heard of openai's operator, you've heard of claude's computer use. now there's an open source alternative:
build your own agents starting with our hello world template:
automate browsing linkedin, sourcing leads, and exporting them directly to your google sheets
build agents that respond to voice commands to control applications and perform tasks hands-free
use development tools like cursor ide from your mobile device by creating a remote control interface
automatically export and organize data from any application directly into structured spreadsheets
create complex multi-step automation sequences like finding contacts and sending personalized emails
develop automated ui testing bots that validate application behavior across different scenarios
build agents that manage apple reminders, create tasks, and organize your schedule automatically
create support agents that diagnose and solve common it problems without human intervention
think of it like a usb-c port for ai applications — a standardized way to connect ai models to different data sources and tools.
pre-made components that makes any llm handle all sdk/api calls
we provide a no-code agent builder
currently macos only, with windows and linux support planned for future releases.
our sdk includes a proven cyclical reasoning framework that helps your agents continuously adapt:
define clear goals before taking any action
analyze current location and application state
create a sequence of steps before execution
evaluate possible interactions against the plan
track progress and adapt to changing conditions
agents continuously cycle through these steps, refining their approach with each iteration
log output provides visibility into each reasoning phase
extract conversation text and messages from whatsapp for analysis or archiving
find interactable elements, type messages, and send them automatically
launch browser, navigate to sites, and perform scrolling interactions
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