What can you do with Droidrun?

With Droidrun, you can automate mobile app workflows like logins, bookings, purchases, access mobile-only data, summarize group chats, perform travel searches, and execute various tasks across different apps using natural language.

How does Droidrun's cloud solution work?

Droidrun's cloud solution allows users to spin up cloud agents in seconds with pre-installed apps, manage credentials securely, and run multiple tasks in parallel. It offers advanced features for scaling mobile automation from zero to production readiness.

What kind of backing does Droidrun have?

Droidrun has recently raised €2.1M in Pre-Seed funding and is backed by notable investors including TKM Family Office, Merantix Capital, and Sixty Degree Capital.

Can Droidrun be integrated with existing systems?

Yes, Droidrun can be combined with LLMs (like Gemini), N8N, or custom scripts, allowing users to add real app execution to any workflow. It supports integration with various development stacks.

Droidrun

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Droidrun is an open-source framework that enables AI agents to control Android and iOS devices through natural language commands, allowing seamless automation of mobile apps and workflows.

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Product Information

Updated:Aug 9, 2025

What is Droidrun

Droidrun is a powerful mobile agent infrastructure developed to bridge the gap between AI systems and mobile platforms. Launched in 2023 and backed by €2.1M in pre-seed funding, it provides developers and businesses with the ability to automate mobile interactions using natural language commands. The framework quickly gained traction with over 900 developers signing up within 24 hours of launch and accumulating 3,300+ GitHub stars, making it the fastest-growing mobile agent project in its category.

Key Features of Droidrun

Droidrun is an innovative open-source framework that enables AI agents to control Android and iOS devices through natural language commands. It leverages Android's Accessibility Services to access structured UI hierarchies, allowing AI to interact with mobile apps directly, automate workflows, and extract data. The platform supports multiple LLM providers (including OpenAI, Anthropic, Gemini, Ollama, DeepSeek) and offers both local and cloud-based solutions for developers and enterprises.

Natural Language Control: Enables control of mobile devices through natural language commands, allowing AI agents to execute complex tasks across different apps

Multi-LLM Provider Support: Compatible with various language models including OpenAI, Anthropic, Gemini, Ollama, and DeepSeek, offering flexibility in AI implementation

Structured UI Access: Uses Android's Accessibility Services to access the structured UI hierarchy directly, making automation more reliable than traditional screen-scraping methods

Cloud Infrastructure: Offers a hosted solution with pre-installed apps, parallel task execution, and secure credential management

Use Cases of Droidrun

Mobile Data Extraction: Extract data from mobile-only platforms and apps that don't provide external APIs

Automated Testing: Support QA processes by automating test scenarios across multiple apps and devices

Workflow Automation: Automate complex multi-step processes across different apps, such as booking travel arrangements or managing social media accounts

Accessibility Support: Assist users with limited mobility by enabling voice-controlled operation of mobile devices

Pros

High success rate (63.0%) on AndroidWorld benchmark tests

Open-source framework with extensive documentation

Supports both physical and virtual devices

More reliable than traditional screen-scraping methods

Cons

Currently in waitlist phase for cloud features

Some features require Android 10 or higher

May have high power consumption for long-running tasks

How to Use Droidrun

Install Prerequisites: Install ADB (Android Debug Bridge) on your computer and ensure you have Python installed

Install DroidRun Portal App: Install the DroidRun Portal accessibility service app on your Android device to enable UI control and feedback

Configure Environment: Set up environment variables in .env file with your chosen LLM API keys (OpenAI, Anthropic, Gemini, etc.)

Connect Device: Connect your Android device via USB or TCP/IP using command 'adb connect <device-ip>:5555' or use 'droidrun connect <device-ip>'

Install Python Package: Install the DroidRun Python package using pip to access the framework's capabilities

Create Agent Script: Write a Python script using DroidAgent class, specify your goal, chosen LLM, and enable required capabilities like vision and reasoning

Configure LLM: Choose and configure your preferred LLM provider (OpenAI, Gemini, Anthropic, etc.) in the agent initialization

Run Your Agent: Execute your script to have the agent perform the specified task on your Android device using natural language commands

Monitor Execution: Use the enabled tracing and debugging features to monitor task execution and troubleshoot if needed

Save Templates: For frequently used tasks, save them as templates to reuse without having to re-enter commands

Droidrun FAQs

Droidrun is a framework that gives AI agents native control of mobile phones (both Android and iOS), allowing automation of mobile workflows and device interactions using natural language commands.

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