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What is AskUI?

AskUI is a platform for deploying computer-use agents on any device, including desktops, embedded HMIs, and physical devices. Built by AskUI GmbH, it solves the problem of automating workflows that span multiple operating systems and hardware environments without relying on fragile scripts or APIs. Core capabilities include screen observation, reasoning, and action execution via a configurable agent runtime called AgentOS. Users can install AgentOS on macOS, Windows, or Linux, pair devices, configure prompts, tools, and models, then run agents that interact with any screen-based interface. The tool supports state-aware steps, caching to reduce LLM costs, and provides full audit trails. It fits engineering teams that need reliable automation for testing, QA, and operational tasks across diverse device ecosystems, from web apps to embedded systems.

AI Tool Review Summary

Performance Score

4.5/5

Content/Output Quality

High, consistent, and on-brand

Interface

Clean and minimal

AI Technology
LLMComputer Vision
Purpose of Tool

To deploy computer-use agents that automate tasks on any device by observing and interacting with screens.

Compatibility

Runs on macOS, Windows, Linux, Android, iOS, and embedded screens via Companion Mode; integrates with CI/CD pipelines.

Pricing

Freemium with paid tiers

Features

Features with the highest value for users are highlighted here.

Deploy agents on any device

Multi-OS support (Windows, macOS, Linux, Android, iOS)

Companion Mode for embedded screens

Code-first Python SDK

Versioned system prompts and tool allowlists

Per-agent model routing (BYOM)

Caching for reduced LLM costs

On-prem and air-gapped deployment

Who Is It For?

QA Engineers

DevOps Teams

Embedded Systems Engineers

Automation Architects

Enterprise IT

Mobile App Developers

Web Developers

Automotive Engineers

Lab Technicians

Security-Conscious Teams

Pricing

Free

$0/free
  • 14-day trial
  • 5,000 inference credits
  • Non-commercial AgentOS license

Starter

$99/monthly
  • Commercial AgentOS
  • Hub token-based inference
  • Email support

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Pros & Cons

Pros

  • Runs agents reliably on real infrastructure across many OS targets.
  • Caching reduces LLM spend by 70-90% and keeps costs visible.

Cons

  • Requires installation of AgentOS on each device, which may add setup overhead.
  • Free tier is limited to non-commercial use and 5,000 inference credits.

FAQs

Just Launched

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