DroidRun is an advanced framework designed to automate interactions with Android devices through natural language commands. By leveraging Large Language Models (LLMs), it enables users to control both virtual and physical Android devices seamlessly, facilitating tasks such as app navigation, data extraction, and workflow automation. Key Features and Functionality: - Natural Language Control: Execute commands on Android devices using intuitive, human-like language inputs. - Multiple LLM Support: Compatible with various LLM providers, including OpenAI, Anthropic, Gemini, Ollama, and DeepSeek, offering flexibility in model selection. - Advanced Planning and Reasoning: Incorporates optional planning capabilities to handle complex, multi-step tasks efficiently. - Vision Support: Equipped with built-in vision capabilities for screen analysis, enhancing the agent's understanding of the device's UI. - Simple CLI and Python SDK: Provides a user-friendly command-line interface and a comprehensive Python SDK for custom automation tasks. - Real-Time Tracing and Monitoring: Offers real-time execution tracing via platforms like Arize Phoenix or Langfuse, enabling users to monitor and debug agent behavior effectively. Primary Value and Problem Solved: DroidRun addresses the challenge of automating mobile workflows by granting AI native control over Android devices. It allows users to automate app interactions, access data hidden behind app logins or mobile-exclusive offers, and integrate with existing systems like LLMs, N8N, or custom scripts. This capability is particularly valuable for tasks that require real device execution, such as automating daily tasks, data collection, and complex workflow orchestration.