How to Turn Old Android Phones into AI Agents (Complete Guide)

How to Turn Old Android Phones into AI Agents (Complete Guide)

What if that old device in your drawer could be transformed into a functional AI agent, capable of executing tasks autonomously? Thanks to emerging open-source tools like OpenClaw, Droidrun (Now Mobilerun), and cloud services like Mobilerun.ai, this idea is now real. You can turn a forgotten Android phone into an intelligent automation node that executes workflows, interacts with apps, scrapes data, and acts as a personal AI assistant.

What It Means to Turn a Phone into an AI Agent

An AI agent, in this context is an LLM powered system that can understand natural language commands, interact with a real mobile device and complete a multi-step task autonomously on its own. 

The traditional automation scripts rely on brittle selectors or hard-coded input sequences. Modern AI agents on the other hand can see the device screen, reason about the UI, and decide on the next action based on intent and context.

We planned to automate the old mobile phones because they are inexpensive, have decent CPUs, and run Android versions that support remote control interfaces. Instead of collecting dust, these phones can become always-on assistants, running tasks around the clock.

Skip the API and use the screen

Most automation tools assume the app you want to automate has an API. Most apps don't.

For example, your Uber app? No public API. WhatsApp? The business API costs money, requires approval, and can't do half of what the actual app does. Your regional food delivery service? Your banking app? Your transit app? Nothing got an API. 

But here's the catch, every single one of these apps has a screen and buttons that you can tap, text that you can read, fields you can type into. And it is a universal interface, and it's the exact same interface a human uses.

Our idea is simple: Instead of calling an API, we let the Mobilerun agent look at the screen and decide what to do, how to scroll, and where to tap, exactly like you would.  Sounds interesting right? But making it actually work is where it gets interesting.

How it works: accessibility trees + LLMs

Android has a built-in accessibility system designed to help screen readers describe what's on the screen. This accessibility tree contains every UI element (like buttons, text fields, labels, checkboxes) in a structured format.

Mobilerun agent reads this tree, sends it to an LLM (GPT, Claude, or Gemini), and asks: "here's what's on the screen. what should I do next?" the LLM responds with a thought process and an action.

Our agent does not work on a brittle script that breaks when an app updates its layout. The agent is capable of reasoning about what it sees in real time. If a button moved, if a modal bottom sheet popped up, the agent adapts because it's reading the current state, not relying on hardcoded script. When the accessibility tree is empty, the agent falls back to the vision.

Why old phones are perfect for this

First, because they are old and will not cost you extra bucks. Second, they are not being used by anyone, so we can run agents on them 24*7.   Plug it into a charger, connect to Wi-Fi, and you've got an always-on device running automated tasks 24/7.

The complete setup guide:

Option 1: Mobilerun Framework (open-source, self-hosted)

If you are a developer and can connect your mobile to the framework, you can try the Mobilerun framework for automation. Mobilerun is an open-source mobile AI agent framework with 8.5K + GitHub stars, specifically built for developers who want full control. 

Detailed Process for getting started with Droidrun Framework - https://mobilerun.ai/framework/

Option 2: Mobilerun Cloud (managed, no ADB needed)

No terminal required. Works with your personal phone.

1. Create account at cloud.mobilerun.ai
2. Install Portal APK on your phone
3. Enable Accessibility permission and notifications
4. Get API key from cloud.mobilerun.ai/api-keys (starts with dr_sk_)
5. Long-press "Connect to Mobilerun" in Portal, paste key
6. Run tasks from the Playground or API.

Option 3: Mobilerun + OpenClaw (AI agent with skills)

The most powerful setup, chain phone control with web search, calendars, messaging. Here’s how to set it up.

1. Install Mobilerun skills in OpenClaw
2. Get Your Mobilerun API Key
3. Go to https://cloud.mobilerun.ai/api-keys 
4. Click New Key, name it, and copy it — keys start with dr_sk_
5. Configure the API Key in the OpenClaw config file or in your terminal config file
6. Connect your Android Device
7. Run the OpenClaw with the task to do some automation on your device.

Now you can say: "open Instagram and like the latest post from @natgeo" or "check my WhatsApp messages and summarize them"

10 things your old phone can do as an AI agent

1. morning briefing: check calendar, weather, messages → WhatsApp summary before you wake up
2. price monitoring: open shopping apps periodically, track price changes
3. social media management: post, like, reply across Instagram, Twitter, LinkedIn
4. food ordering: place your regular lunch order at the same time every day
5. transit monitoring: check commute route, alert about delays
6. WhatsApp automation: forward messages to email, auto-reply when busy
7. app testing: QA your app automatically
8. data collection: scrape info from apps without APIs
9. banking alerts: check balances on apps without unreliable push notifications
10. smart home control flow: control IoT apps with terrible APIs but decent mobile apps

Getting started today

Get started with OpenClaw and Mobilerun by following the simple steps below.

1. Find your old phone (check that drawer)
2. Charge it up, connect to Wi-Fi

Pick your approach:

1. Developer → Mobilerun (free, open-source)
2. Managed → Mobilerun Cloud (Portal app, no ADB)
3. AI assistant → Openclaw + Mobilerun skill

Start simple: "open Settings and tell me the Android version"

Build up: chain tasks, schedule automations, go wild

That phone in your drawer has been waiting. Give it something to do.