

Appagent
Overview :
AppAgent is an LLM (Large Language Model) based multimodal agent framework designed for operating mobile applications. It imitates human-like interactions through simplified action spaces (such as clicking and swiping) to achieve application operation without requiring system backend access. The agent autonomously explores or learns new application usage methods by observing human demonstrations, creating a knowledge base for executing complex tasks within different applications.
Target Users :
Intelligent mobile application automation, user interaction research, and AI-assisted device control.
Use Cases
Automating the operation of social media applications
Learning new application usage methods through observation
Creating automated workflows across multiple applications
Features
Multimodal Mobile Application Operation
Autonomous Exploration and Human Demonstration Learning
Creating Application Usage Knowledge Base
Executing Cross-Application Complex Tasks
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