Agent Device
CLI for AI agents to control real iOS and Android devices with token-efficient snapshots
Agent Device is a smart, early-stage tool that solves a real problem: giving LLMs cheap, structured access to mobile UIs. It's worth trying if you're building agent workflows for native apps, but expect to invest in setup — the ecosystem is young and documentation is concise. A promising start from Callstack's React Native experts.
- Developers building AI agents that need to interact with native mobile apps
- QA engineers automating exploratory testing on real devices
- Researchers prototyping mobile agent workflows with LLMs
- Platform teams integrating device automation into agent pipelines
- Non-technical users who expect a GUI-based automation tool
- Teams needing production-ready mobile test automation with extensive reporting (e.g., Appium)
- Use cases requiring out-of-the-box cloud device farm integration
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In short
Agent Device — CLI for AI agents to control real iOS and Android devices with token-efficient snapshots. Best for Developers building AI agents that need to interact with native mobile apps, QA engineers automating exploratory testing on real devices, Researchers prototyping mobile agent workflows with LLMs. Free to use.
What independent users actually report about Agent Device
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
63 mentions across 5 sources (Hacker News, YouTube, Bluesky, GitHub, Lemmy).
- +Free and open-source with no pricing tiers.
- +Token-efficient accessibility-tree snapshots reduce LLM costs.
- +Stable element references (@e1, @e2) for reliable agent interaction.
- +Cross-platform support for iOS, Android, TV, and desktop.
- +Session recording and deterministic replay for reproducible testing.
- −Very early stage with 37 open GitHub issues.
- −Thin community feedback makes reliability hard to judge.
- −No official integrations or plugin ecosystem yet.
- −Limited documentation beyond basic CLI usage.
- −Lack of published performance benchmarks or comparisons.
Viability Score
How likely is Agent Device to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Token-efficient UI snapshots via accessibility tree
- Stable element references (@e1, @e2) for LLM interaction
- Semantic selectors by text, label, or role
- Cross-platform support: iOS, Android, TV, desktop
- Open apps on simulators and physical devices
- Session recording and deterministic replay
- Experimental auto-healing of stale selectors
- Typed TypeScript client for programmatic integration
- Official skill packs for agent onboarding
- Remote device proxy for cloud sandbox use
- Capture logs, network dumps, screenshots, screen recordings
- Settings and push notification triggers
About Agent Device
Agent Device is an open-source CLI tool from Callstack that gives AI agents structured, programmatic control over real mobile, TV, and desktop devices. Instead of relying on full screenshots or verbose dumps, it exposes the accessibility tree as token-efficient snapshots with stable element references (like @e2), making it cheap and fast for LLMs to understand and act on UIs. Agents can tap, fill, navigate, and record sessions across iOS, Android, TV, and desktop — on simulators or physical devices — using a single, cross-platform command set. The tool is built for developers integrating device automation into agentic workflows, offering a typed TypeScript client, session recording and replay, and an experimental auto-healing feature for stale selectors. Unlike browser-focused tools like Puppeteer or Playwright, Agent Device is purpose-built for native mobile apps and TV interfaces, bridging a gap in the agent ecosystem. It's free, open-source, and designed to work with any agent framework, with companion skill packs for rapid onboarding.
Behind the Verdict
Agent Device tackles an underserved niche: native mobile and TV device automation for AI agents. Most agent tools focus on web browsers, leaving mobile app interaction as a messy afterthought. Agent Device's approach — accessibility tree snapshots with stable refs — is genuinely clever. It keeps token usage low and lets agents act precisely without parsing screenshots. The ability to record sessions and replay them deterministically, with experimental auto-healing, adds real utility for QA and regression. That said, this is early-stage software. The current version is a CLI with typed client — there's no GUI, no cloud device farm integration out of the box, and the community is nascent. You'll need to be comfortable with terminal workflows and possibly writing custom integration code. The docs are clear but terse; the skill packs help, but you're still on the hook for debugging. Compared to Appium or Detox, Agent Device doesn't aim for comprehensive test automation — it's an agent interface, not a testing framework. For researchers and developers prototyping mobile agent behaviors, it's a solid starting point. For production test suites or non-technical teams, look elsewhere. One caveat: the tool relies on accessibility trees, so apps with poor accessibility may yield incomplete snapshots. But for its target audience — agent engineers who want a lightweight, open-source bridge to real devices — Agent Device delivers.
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Use Cases
- Automate UI exploration of a native iOS app using natural language agent commands
- Record exploratory test sessions on Android and replay them for regression
- Integrate mobile app interaction into a multi-step agent workflow across platforms
- Use the TypeScript client to provision devices and capture snapshots programmatically
- Provide an LLM agent with structured, token-efficient screen context for decision making
Limitations
- Agent Device is a relatively new tool with limited community resources and documentation.
- The experimental features like auto-healing may not be reliable in all scenarios.
- It currently lacks built-in cloud device farm integration, requiring users to manage their own devices or simulators.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Resources & Guides
Official links
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