Welcome to InterfaceAgent, a versatile framework designed to create system and interface agents capable of managing mobile and desktop applications and features.

Here are the key capabilities of InterfaceAgent:

• Planning & Goal Refinement: The agent is capable of constructing multi-step plans across various applications to fulfill user requests. It can also adapt and refine these plans based on user feedback during the evaluation phase.

• Action Prediction (Pure Visual / Textual / Set-of-Mark Visual Prompting): InterfaceAgent employs a visual coordinate-based approach, pure DOM textual analysis, or set-of-marking to enhance the accuracy of predicting the next likely action.

• Mixture of Models: InterfaceAgent is compatible with both GPT-4V and Claude models, excelling in determining the subsequent steps directly from page screenshots.

• Resilient Error Handling: Recognizing that errors are an inherent part of AI Agents, InterfaceAgent incorporates a robust retry mechanism with exponential backoff. This allows it to skillfully navigate through temporary failures, ensuring the Agent's progress is uninterrupted.

InterfaceAgent OS-specific agents extend the core toolkit with advanced automation for the target platform:

• Preview of iOS Agents: Explore how your AI Agents can gain access to the ecosystem of apps and functionalities on your iOS device.
• Preview of Windows Agents: Explore how your AI Agents can gain access to the ecosystem of apps and functionalities on your Windows 11 device.
• Preview of Appium Android Agents (Coming soon): Explore how your AI Agents can gain access to the ecosystem of apps and functionalities on your Android device.
• Playwright-based Web Agents (Coming soon): Learn how to build Web AI Agent Companions.

You can choose to either clone the repository or use npm, yarn, or pnpm to install InterfaceAgent.

• For Core, see installation steps.
• For iOS, see installation steps.
• For Windows, see installation steps.

1) User Query: Help me download an app named EdgeTile

2) User Query: Dropshipping products on Tiktok

User Query: Help me prepare for a 30 days of fitness challenge

InterfaceAgent continues to face challenges in long-horizon planning and selector inference accuracy. The current focus is on enhancing the stability of InterfaceAgent agents.

We welcome contributions. Please follow the standard fork-and-pull request workflow for your contributions.

InterfaceAgent is licensed under the MIT License.

For support, questions, or feature requests, open an issue in the GitHub repository.