Mobilerun
Open-source framework for natural language AI mobile automation on iOS and Android.
Mobilerun is the strongest open-source option we've seen for natural-language mobile automation, backed by a real 91.4% AndroidWorld score and true LLM flexibility. But the cloud service is still beta and the open-source core is developer-only, so weigh that before committing. Worth serious evaluation for dev teams—not for non-coders yet.
Verified 6d ago · liveness 76/100 · cite: rightaichoice.com/tools/mobilerun
- Developers building AI-driven mobile automation workflows (e.g., social posting, data extraction)
- QA engineers wanting to write mobile test scripts in plain English without Appium or XPath
- Teams managing large device fleets for testing, operations, or RPA at scale (up to 10,000+ phones)
- Agencies running 10+ client social accounts with one real phone per client to avoid logins
- Non-technical users without coding experience—the open-source core requires Python skills
- Teams needing zero-setup cloud automation—Mobilerun VA is still in beta and not production-ready
- Low-latency real-time control—agent planning introduces overhead before actions
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Skip Mobilerun if you're a non-technical user expecting a plug-and-play SaaS without coding, or if you need guaranteed production-ready cloud automation today rather than a beta service.
Cloud usage is billed per minute ($0.03/min) plus $0.01 per agent step, which can add up during complex multi-step workflows.
Mobilerun's freemium model is ideal for developers and small teams who can self-host on their own devices at $0/mo. For production scale, the $80/mo Android plan is competitive with cloud phone rental services like BrowserStack or Sauce Labs, which charge per-minute without device-level AI automation. The $200/mo iPhone plan is pricey but includes real-device stealth and eSIM, which few rivals match. For budget-conscious teams, BYO at $5/mo is a low-cost entry point, though credits are minimal.
In short
Mobilerun — Open-source framework for natural language AI mobile automation on iOS and Android. Best for Developers building AI-driven mobile automation workflows (e.g., social posting, data extraction), QA engineers wanting to write mobile test scripts in plain English without Appium or XPath, Teams managing large device fleets for testing, operations, or RPA at scale (up to 10,000+ phones). Free to start; paid plans from $0.03/mo.
What's new in Mobilerun
Checked 6 days agoAcross the latest 5 updates: 4 feature updates and 1 news mention.
Turn Your Phone Into an AI Agent using Claude
Guide on connecting a mobile device with Claude using the Mobilerun mobile harness.
Telegram automation: when the Bot API is not enough
Run the real Telegram app on a real phone for member-level work not possible via Bot API.
Automate your Vinted shop with an AI agent
AI agent on a real phone relists items, answers buyers, and tracks sales on Vinted.
WhatsApp automation on a real number, built for European teams
Run the real WhatsApp app on a cloud number with an AI agent; covers gaps in the Business API.
The phone farm is dead
Renting real devices behind an API replaces physical phone racks; economics favor cloud.
What people actually say about Mobilerun — is it worth it?
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.
24 mentions across 3 sources (Hacker News, YouTube, GitHub) · researched Aug 12, 2026.
- +LLM-agnostic — swap Gemini, OpenAI, or others with one line
- +Multi-agent architecture: Task, Testing, and Research agents for varied workflows
- +Vision mode and reasoning mode add flexibility for complex tasks
- +High AndroidWorld benchmark score (91.4%) demonstrates real capability
- +Open-source with active development and growing GitHub community (9k+ stars)
- −Syntax errors like 'unterminated string literal' break runs, frustrating users
- −Task termination is unreliable — agent may restart planning after completion
- −Some users report it only opens apps, not triggering clicks inside them
- −Setup demands programming knowledge; not beginner-friendly
- −Local runs can be slow, especially with large LLMs (e.g., 19GB Ollama models)
- • Bring-your-own-phone plan may incur data charges if you use your mobile network
- • LLM API costs are separate — you pay for tokens used by the agent
- • Cloud beta may have additional fees for parallel agents or stealth mode
Viability Score
How well maintained and how widely used is Mobilerun? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Natural language mobile automation for iOS and Android
- LLM-agnostic: swap Gemini, OpenAI, Anthropic, DeepSeek, Qwen, Ollama, OpenRouter in one line
- Vision mode with screenshot fallback when accessibility tree fails
- Reasoning mode with chain-of-thought planning
- Structured output via Pydantic models
- Custom tool registration for extending agent capabilities
- App cards for pre-built interaction patterns on popular apps
- Multi-agent architecture: Task, Testing, Research Agents
- Local device control via USB/ADB, pip install
- Managed cloud fleet with stealth mode and residential IPs
- iOS support via cloud with eSIM and SMS
- Installed via pip (Python 3.10+) and CLI (brew)
- 91.4% on AndroidWorld benchmark (106/116 tasks)
- TypeScript SDK and MCP Server support
- Mobilerun VA beta: hosted 24/7 agent for mobile automation
About Mobilerun
Mobilerun is an open-source framework that lets AI agents drive real iOS and Android devices with plain English. Instead of writing brittle XPath selectors or Appium commands, you tell an agent what to do—like "Open Twitter and post 'Hello from mobilerun!'"—and it handles the taps, swipes, and typing itself. It's aimed at developers, QA engineers, and automation teams who want to move beyond scripted tests and let LLMs handle the heavy lifting on real hardware. The framework is LLM-agnostic, with one-line swapping between Gemini, OpenAI, Anthropic, DeepSeek, Qwen, Ollama, and OpenRouter. Six core primitives cover the automation lifecycle: LLM swapping, vision mode with screenshot fallback when the accessibility tree isn't enough, reasoning mode with chain-of-thought planning, structured output via Pydantic models, custom tool registration, and app cards for pre-built interaction patterns on popular apps. A multi-agent architecture splits work into Task, Testing, and Research Agents, each tuned for a specific job. Mobilerun reports a 91.4% success rate on the AndroidWorld benchmark, completing 106 of 116 tasks. It's MIT-licensed, requires Python 3.10+ and Android 10+, and installs with pip. You can run it locally on your own device via USB/ADB, or scale to a managed cloud fleet with features like stealth mode and residential IPs on real iPhones. The cloud also includes the Mobilerun VA beta—a hosted 24/7 agent for mobile automation. Recent blog posts highlight practical applications: automating your Vinted shop, running WhatsApp on a real cloud number for European teams, and turning your phone into an AI agent with Claude. These show Mobilerun's real-world use cases beyond the core framework.
Behind the Verdict
Mobilerun stands out as a rare open-source project that tackles a genuinely hard problem: giving LLMs reliable control over real mobile devices. The natural-language interface eliminates the pain of XPath and Appium, and the 91.4% AndroidWorld benchmark is a tangible proof point. The LLM-agnostic design is a big plus—you can swap Gemini, OpenAI, Anthropic, or others in one line, avoiding vendor lock-in. The multi-agent architecture (Task, Testing, Research) maps well to real workflows, and the six primitives cover the full lifecycle. Strengths: The open-source core is free and MIT-licensed, so you can self-host on your own devices. The cloud scaling option provides real iPhones with eSIM and SMS, which is rare and powerful for stealth automation. Recent blog posts show practical use cases like Vinted shop automation, WhatsApp on real numbers, and agency multi-account management—these resonate with real buyers. Weaknesses: The open-source path requires Python skills—non-coders are locked out. The cloud service is still in beta, so production reliance is risky. Performance depends on the underlying LLM, so you may need a capable model. Cloud usage is billed per minute, plus data and agent-step costs, which can add up. Where it fits: Dev teams building custom mobile automation, QA engineers wanting scriptless tests, agencies managing many client accounts, and anyone scraping mobile apps without public APIs. Where it doesn't: non-technical users, teams needing zero-setup production automation (wait for VA), or low-latency real-time control.
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Real-world workflow fit
Concrete scenarios for the personas Mobilerun actually fits — and what changes day-one when you adopt it.
Install the framework locally, connect an Android device via USB, and write a Python script to post to X and Instagram on a schedule.
Outcome: Automated posts without manually opening apps, freeing time and reducing repetitive work.
Use the Testing Agent to write a natural-language test script that launches an app, navigates through UI, and verifies text.
Outcome: Tests run on a real device without Appium or XPath, cutting test maintenance time.
Rent a real phone per client, install the cloud agent, and automate posting and engagement while each client keeps a separate identity.
Outcome: Scales to 10+ clients without shared logins, reducing lockout risk.
Use Cases
- Open Twitter and post a message from code
- Search, filter, and book hotels across travel apps
- Keep daily streaks alive across any mobile app
- Extract structured data from any mobile app without API
- Write mobile tests in plain English without Appium
- Automate multi-app workflows for data pipelines
- Automate your Vinted shop with an AI agent (relist items, answer buyers)
- Run a real WhatsApp account on a cloud number for automation
Models Under the Hood
as of 2026-08-19
Limitations
- The cloud managed fleet (Mobilerun VA) is in beta and requires contacting the team for pricing or a demo.
- Local setup requires Python 3.10+ and Android 10+, with iOS support available only through the cloud.
- The framework is LLM-agnostic, but performance depends on the chosen LLM's capabilities.
- Cloud usage is billed per minute, and device rental costs vary by plan.
- Additionally, agent step costs apply ($0.01/step) and data costs (residential IP) are extra.
as of 2026-08-18
Verification history
We have re-verified Mobilerun 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
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.
Plans compared
For each published Mobilerun tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Open Source Framework
$0/mo
Ideal for
Developers and tinkerers who want to experiment with AI mobile automation at no cost, using their own devices.
What this tier adds
Starting tier: free, includes the core framework and community support; requires self-hosting.
Bring Your Own Phone (BYO)
$5/mo ($48/yr)
Ideal for
Individuals or small teams who already own a suitable Android/iOS device and want cloud-managed features on a budget.
What this tier adds
Adds $5/mo cloud connection, persistent state, stealth, and VA assistant to your own hardware.
Rent Cloud Android
$80/mo ($768/yr)
Ideal for
Teams and agencies needing a dedicated, always-on Android device for automation without maintaining hardware.
What this tier adds
Provides a dedicated Android phone with residential IP, $25/mo credits, and 24/7 automation; costs $80/mo.
Rent Real iPhone
$200/mo ($1,920/yr)
Ideal for
Businesses requiring iOS-specific automation with stealth features on real devices, including eSIM and SMS.
What this tier adds
Offers a real iPhone with custom hardware, pure iOS stealth, and eSIM support; premium at $200/mo.
Pay as You Go
$0.03/min
Ideal for
Users with sporadic automation needs who want a low-commitment, usage-based pricing model.
What this tier adds
No monthly commitment, pay $0.03/min for Android phone access; includes stealth and VA, but Connect/proxy are extra.
Enterprise Custom
Custom
Ideal for
Large enterprises or platforms needing fleets of 10,000+ concurrent phones with custom hardware and compliance features.
What this tier adds
Tailored pricing and features like SSO, private fleets, and SLA; SOC 2 on roadmap.
Where the pricing makes sense
The company stage and team size where Mobilerun's pricing actually pencils out — and where peers do it cheaper.
Mobilerun's freemium model is ideal for developers and small teams who can self-host on their own devices at $0/mo. For production scale, the $80/mo Android plan is competitive with cloud phone rental services like BrowserStack or Sauce Labs, which charge per-minute without device-level AI automation. The $200/mo iPhone plan is pricey but includes real-device stealth and eSIM, which few rivals match. For budget-conscious teams, BYO at $5/mo is a low-cost entry point, though credits are minimal.
Setup time & first value
How long it actually takes to get something useful out of Mobilerun — broken out by persona, not the marketing-page minute.
For developers with Python experience, initial setup—installing via pip and running the quickstart—takes about 15 minutes. First automation on a local device can be achieved within an hour. For cloud setup, onboarding might take a few days including contact with the team for VA beta access.
Switching to or from Mobilerun
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Appium: Replace WebDriver scripts with natural-language goals; Mobilerun handles element selection.
- →From UiPath/automation platforms: Use Mobilerun's Python SDK or MCP server to integrate with existing pipelines.
- ↗To a managed automation service (e.g., BrowserStack): Export your workflows as code and translate to their device cloud APIs.
- ↗To a homegrown solution: Since framework is open-source, you have full control over code and infrastructure.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Featured Head-to-Head Comparisons
Mobilerun vs Spider Cloud
Choose Mobilerun if your primary need is AI-driven mobile automation on real iOS/Android devices, especially if you want open-source flexibility and LLM-agnostic control. Choose Spider Cloud if your focus is web data extraction for AI agents, offering a fast Rust-based API, 1,000+ scraper examples, and recent Browser AI commands for dynamic interaction. The tools serve different domains so the decision hinges on whether you need mobile or web automation.
Mobilerun vs Presto Voice
Mobilerun and Presto Voice serve entirely different markets. Mobilerun is a developer-centric open-source framework for automating mobile devices using natural language and multiple LLMs. Presto Voice is a turnkey voice AI solution for QSR drive-thrus, proven to boost revenue and efficiency. Choose based on your domain: mobile automation vs. restaurant operations.
Mobilerun vs Temporal Ai
Choose Mobilerun if your goal is to control mobile devices with natural language for testing or data extraction; choose Temporal AI if you need a robust, durable orchestration layer for AI agents that must survive failures. They are complementary: Temporal can orchestrate Mobilerun agents for reliability.
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Frequently Asked Questions
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