AI Tool

agent-device Review

agent-device is an agent-native CLI that provides structured control over mobile, TV, and desktop apps for AI testing and automation across iOS, Android, tvOS, Android TV, macOS, and Linux.

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1Supports AI mobile testing and app automation across 6 distinct operating systems: iOS, Android, tvOS, Android TV, macOS, and Linux.

2Version 0.14.8, released on May 12, 2026, introduced improvements to Android fill verification diagnostics and an MCP discovery router.

3Utilizes token-efficient accessibility snapshots for AI agents to read compact UI trees and perform deterministic interactions.

4Developed by Callstack, agent-device aims to close the 'agentic development loop' for AI agents.

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agent-device at a Glance

Best For

Developers and QA teams

Pricing

Subscription SaaS

Key Features

Structured control over mobile apps, Snapshots and semantic targeting, Typed client access, Diagnostics and replayable workflows, Official agent-device skills for mobile automation

Integrations

See website

Alternatives

Appium

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About agent-device

Business Model

Subscription SaaS

Platforms

Web

Target Audience

Developers and QA teams

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Markdown

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overview

What is agent-device?

agent-device is an agent-native CLI tool developed by Callstack that enables AI agents, developers, and QA professionals to control iOS, Android, tvOS, macOS, and Linux desktop devices and apps programmatically. It automates app testing and UI interaction by taking accessibility snapshots, extracting UI elements, and executing taps, scrolls, and text input. The tool provides AI agents with structured UI access and deterministic interactions, moving beyond pixel-first screenshots to token-efficient accessibility snapshots. This allows agents to read compact UI trees, locate elements using references (e.g., @e3), and perform actions like touch and text input. Recent updates, such as Version 0.14.8 (May 12, 2026), have focused on improving Android diagnostics and enhancing cloud integration capabilities.

quick facts

Quick Facts

Attribute	Value
Developer	Callstack
Business Model	Freemium
Pricing	Freemium
Platforms	iOS, Android, tvOS, Android TV, macOS, Linux
Integrations	GitHub Actions, EAS

features

Key Features of agent-device

agent-device provides a comprehensive set of features designed to facilitate AI agent interaction and automation across various application environments. These capabilities enable structured control, detailed diagnostics, and efficient workflow management for developers and QA teams.

1Structured control over mobile, TV, and desktop applications for AI agents.
2Accessibility snapshots and semantic UI targeting for token-efficient UI understanding.
3Typed client access for programmatic interaction with application elements.
4Diagnostics and replayable `.ad` workflows for bug reproduction and regression testing.
5Official agent-device skills for mobile automation, enhancing agent capabilities.
6Component tree inspection, props/state/hooks analysis, and render profiling for React Native and Expo apps.
7Collection of comprehensive debugging evidence, including screenshots, video, logs, and performance data.
8Cloud remote authentication flow and cloud config discovery for enhanced connectivity.
9MCP (Model Context Protocol) discovery router, introduced in Version 0.14.8, for improved model context sharing.

use cases

Who Should Use agent-device?

agent-device is primarily designed for entities involved in the development, testing, and automation of applications across multiple platforms, leveraging AI agents for enhanced efficiency and precision.

1AI agents: For gaining structured control over mobile, TV, and desktop apps, enabling them to participate in the 'agentic development loop' by writing code, running apps, verifying UI, and collecting evidence.
2Developers: For automating iOS, Android, tvOS, macOS, and Linux desktop app interactions, particularly beneficial for React Native and Expo app development workflows, including UI inspection and state verification.
3QA professionals: For AI mobile testing, bug reproduction, regression testing, and clean-state testing, facilitating the collection of debugging evidence like screenshots, video, logs, and performance data.

pricing

agent-device Pricing & Plans

agent-device operates on a freemium business model, offering core functionalities without an upfront cost. Specific details regarding paid tiers, subscription levels, or usage-based pricing are not publicly detailed. The freemium model typically allows users to access a foundational set of features for free, with advanced capabilities, enterprise support, or higher usage limits available through paid plans or subscriptions.

1Freemium: Access to core agent-device CLI functionalities for AI mobile testing and app automation.

competitors

agent-device vs Competitors

agent-device positions itself as an agent-native CLI tool specifically for app and device automation, differentiating itself from broader testing frameworks and browser-focused tools. Its emphasis on token-efficient accessibility snapshots provides a distinct approach to AI agent interaction.

Appium (with AI extensions/integrations)↗

Appium is an open-source, highly extensible framework that supports a vast array of mobile, desktop, and TV platforms, now enhanced with AI for improved object recognition and self-healing capabilities.

Appium is an open-source framework, similar to agent-device's CLI nature, offering broad cross-platform support including iOS, Android, macOS, Windows, and TV, directly matching agent-device's listed platforms. Its AI capabilities are often added via extensions or integrations, whereas agent-device is described as 'Agent-native CLI for AI mobile testing'.

Maestro↗

Maestro offers a human-readable YAML-based syntax for defining UI and end-to-end tests across mobile and web, with AI assistance for test generation and a lightweight Studio IDE.

Maestro provides a lightweight, open-source framework with a CLI-first approach and AI assistance, similar to agent-device's 'Agent-native CLI'. It focuses on Android, iOS, and web, which is a strong overlap, though it doesn't explicitly list tvOS, Android TV, macOS, or Linux as direct testing targets in the same comprehensive way agent-device does.

Momentic↗

Momentic provides an AI-powered testing platform that allows for plain-English test creation and self-healing tests, supporting both cloud and local CLI execution.

Momentic offers AI-driven test automation with a 'start for free' model and supports local CLI execution, aligning with agent-device's freemium and CLI aspects. It covers web and mobile, and extends to Windows desktops, offering a good range of platforms, though not explicitly tvOS, Android TV, macOS, or Linux for testing.

Panto AI↗

Panto AI is an AI-native mobile QA platform that translates natural-language flows into deterministic tests, emphasizing real-device execution, self-healing, and root cause analysis.

Panto AI directly competes with its AI-native approach to mobile testing and a free plan, similar to agent-device's freemium model. It supports Appium and Maestro workflows, indicating CLI compatibility, and focuses on iOS and Android, which are core to agent-device, but doesn't explicitly list the broader desktop/TV OS support.

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Frequently Asked Questions

+What is agent-device?

+Is agent-device free?

agent-device operates on a freemium business model, meaning a foundational set of its core functionalities is available for free. Details on specific paid tiers or subscription plans are not publicly provided.

+What are the main features of agent-device?

Key features of agent-device include structured control over mobile, TV, and desktop apps, accessibility snapshots for semantic UI targeting, typed client access, diagnostics, replayable workflows, and official agent-device skills for mobile automation. It also supports component tree inspection for React Native/Expo apps and comprehensive debugging evidence collection.

+Who should use agent-device?

agent-device is intended for AI agents seeking structured control over applications, developers automating interactions across iOS, Android, tvOS, macOS, and Linux, and QA professionals focused on AI mobile testing, bug reproduction, and regression testing for various app platforms.

+How does agent-device compare to alternatives?

agent-device differentiates itself by being an agent-native CLI focused on structured control and token-efficient accessibility snapshots for AI agents across diverse OS. Unlike broader frameworks like Appium, which often require extensions for AI, or YAML-centric tools like Maestro, agent-device provides direct programmatic interaction for AI agents with native apps, including desktop and TV OS.