GitHub - mnotgod96/AppAgent: AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.
📱 AppAgent by mnotgod96 is a game-changer in smartphone app operations! This LLM-based agent mimics human interactions without backend access, offering seamless app navigation and task completion. Explore, learn, and optimize with this cutting-edge tool! #AI #AppAgent #Smartphones
- The repository "AppAgent" contains a novel LLM-based multimodal agent framework for smartphone applications.
- The agent can operate apps through tapping and swiping, mimicking human interactions without needing system back-end access.
- The agent learns to navigate new apps through autonomous exploration or human demonstrations, building a knowledge base for complex tasks.
- Configuration involves using GPT-4V or qwen-vl-max models, and OpenAI API key purchase is required for GPT-4V.
- Exploration phase allows autonomous exploration or learning from human demonstrations to document UI elements.
- Deployment phase uses the documentation from exploration to complete specific tasks on Android apps.
- Tips include allowing the agent to explore more tasks and manually revising documentation for accurate descriptions.
- The project aims to incorporate more LLM APIs, open source the benchmark and configuration, and improve user experience in operating smartphone apps.