CLI to control iOS and Android devices for AI agents
Agent-device is a TypeScript CLI that gives AI coding agents direct control over iOS simulators, Android emulators, physical devices, tvOS, Android TV, macOS, and Linux desktop targets to verify what a mobile or desktop app actually does at runtime. It integrates with Claude Code (and other agent terminals like Cursor and Codex) by exposing a set of commands that open app sessions, take compact accessibility snapshots with short element refs such as @e1 and @e2, perform taps, fills, scrolls, and gestures, and collect debugging evidence including screenshots, video recordings, network traffic captures, CPU and memory performance samples, and React render profiles. Apps built with Expo, Flutter, and React Native are supported alongside fully native iOS and Android projects. A standout detail is the replay system: interactions can be recorded into replayable .ad scripts that run in CI pipelines, turning exploratory agent sessions into repeatable end-to-end checks. Mobile developers, React Native engineers, and teams running agentic development loops benefit most.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
git clone https://github.com/callstack/agent-device && cp agent-device/*.md ~/.claude/agents/2 items en este repositorio
Automates Apple-platform apps (iOS, tvOS, macOS) and Android devices. Use when navigating apps, taking snapshots/screenshots, tapping, typing, scrolling, extracting UI info, collecting logs/network/perf evidence, or planning agent-device CLI commands.
Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.
Resumen de Subagents
Lo que la gente pregunta sobre agent-device
¿Qué es callstack/agent-device?
+
callstack/agent-device es subagents para el ecosistema de Claude AI. CLI to control iOS and Android devices for AI agents Tiene 2.7k estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala agent-device?
+
Puedes instalar agent-device clonando el repositorio (https://github.com/callstack/agent-device) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar callstack/agent-device?
+
Nuestro agente de seguridad ha analizado callstack/agent-device y le ha asignado un Trust Score de 100/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene callstack/agent-device?
+
callstack/agent-device es mantenido por callstack. La última actividad registrada en GitHub es de today, con 35 issues abiertos.
¿Hay alternativas a agent-device?
+
Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.
Despliega agent-device en tu cloud
Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.
¿Mantienes este repo? Añade un badge a tu README
Pega el badge en tu README de GitHub para mostrar que está auditado por ClaudeWave. Cada badge enlaza de vuelta a esta página y muestra el Trust Score actual.
[](https://claudewave.com/repo/callstack-agent-device)<a href="https://claudewave.com/repo/callstack-agent-device"><img src="https://claudewave.com/api/badge/callstack-agent-device" alt="Featured on ClaudeWave: callstack/agent-device" width="320" height="64" /></a>Más Subagents
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
The agent that grows with you
Java 面试 & 后端通用面试指南,覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
Production-ready platform for agentic workflow development.
The agent engineering platform.
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.