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Documentation Index

Fetch the complete documentation index at: https://askui-docs-streamline-documentation.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

Architecture: Your Code → VisionAgent + LLM → Agent OS

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Components

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VisionAgent

Python SDK that orchestrates tasks. Sends screenshots to LLM, receives actions, executes via Agent OS. 
from askui import VisionAgent

with VisionAgent() as agent:
    agent.act("Log into the admin dashboard")

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Agent OS

Device driver running locally. Provides screen capture, mouse/keyboard control, multi-display support.

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LLM

Understands UI from screenshots, plans actions, executes step-by-step. Configurable—use AskUI’s default or bring your own.

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Execution Flow

  1. Screenshot → Agent OS captures screen
  2. Understanding → LLM identifies UI elements
  3. Planning → LLM determines next action
  4. Execution → Agent OS performs click/type
  5. Loop → Repeat until task complete

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Why Task-Based?

# Traditional (breaks when UI changes)
driver.find_element(By.ID, "email-input").send_keys("test@example.com")

# AskUI (adapts to visual changes)
agent.act('Enter "test@example.com" in the email field')
AI understands intent, not implementation. UI changes don’t break your automation.