Droidrun

Droidrun

Open-source platform for AI-powered mobile app automation and data extraction.

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Droidrun

Introduction

Droidrun: AI-Powered Mobile Automation

Droidrun is an open-source platform designed to automate mobile app workflows and extract data from mobile applications. It provides AI-native control over both virtual and physical phones, allowing users to automate tasks like logins, bookings, and purchases through natural language commands.

Core Capabilities:

  • Automated Workflows: Droidrun facilitates the creation of complex workflows involving multiple apps and steps, defined using natural language.
  • Data Access: It enables access to data behind app logins, rate-limiting, or exclusive mobile-only offers.
  • Parallel Task Execution: The platform supports running multiple tasks simultaneously across various devices.
  • Credential Management: Securely manages user credentials, streamlining the automation process.
  • Auto Replay (Macros): Allows users to capture and repeatedly execute complex sequences of actions within mobile apps.

Technical Approach:

Droidrun leverages an "OSS Agent on Android World" to operate on Android devices. The platform is built around a cloud infrastructure, enabling scaling of mobile automation from zero to production readiness. Users can combine Droidrun with Large Language Models (LLMs) like Gemini and Ollama, as well as N8N and custom scripts, to build highly adaptable automation solutions.

Key Features & Integrations:

  • Gemini Integration: Droidrun supports running tasks utilizing Google’s Gemini LLM.
  • Ollama Integration: Allows running Droidrun tasks utilizing Ollama.
  • SDK Examples: Provides simple Python code snippets for automating mobile tasks.
  • Minimalistic Examples: Includes streamlined examples for running Droidrun with Gemini and Ollama.

Underlying Technology:

Droidrun's core utilizes an “OSS Agent on Android World,” offering automated control of devices. It provides a cloud-based architecture for scalability and deployment. The platform supports parallel task execution to maximize efficiency. The architecture’s foundation relies on integrating LLMs to generate natural language commands that can be interpreted and executed across various mobile applications.

Target Use Cases:

Droidrun is designed for users who need to automate daily mobile tasks, gain access to exclusive mobile data, and integrate mobile automation into existing workflows and stacks. The platform is suitable for developers, technical users, and anyone seeking to simplify and scale mobile automation processes.

Important Note: Pricing information and specific details about the cloud infrastructure are not currently available.