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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
4.5/5
High, consistent, and on-brand
Clean and minimal
LLMComputer Vision
To deploy computer-use agents that automate tasks on any device by observing and interacting with screens.
Runs on macOS, Windows, Linux, Android, iOS, and embedded screens via Companion Mode; integrates with CI/CD pipelines.
Freemium with paid tiers
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
QA Engineers
DevOps Teams
Embedded Systems Engineers
Automation Architects
Enterprise IT
Mobile App Developers
Web Developers
Automotive Engineers
Lab Technicians
Security-Conscious Teams
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
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
Pros & Cons
Runs agents reliably on real infrastructure across many OS targets. Caching reduces LLM spend by 70-90% and keeps costs visible.
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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Rating
5.0
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