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Agent-S - An agent framework for automating human-computer interaction based on a graphical user interface.

Agent-S is an innovative agent framework designed to automate human-computer interaction based on a graphical user interface (GUI). Agent-S simulates human operation, allowing direct interaction with the computer using a mouse and keyboard to handle complex tasks...

What is Agent S?

Agent-S is an innovative agent framework designed to automate human-computer interaction based on a graphical user interface (GUI). Based on simulating human operation, Agent-S allows direct interaction with computers using a mouse and keyboard to handle complex, multi-step tasks. Agent-S introduces an experience-enhanced hierarchical planning method, combining online network knowledge and internal memory to decompose complex tasks into manageable subtasks. Based on a specific Agent-Computer Interface (ACI), Agent-S improves the reasoning and control capabilities of GUI agents based on multimodal large language models (MLLMs). Agent-S performs exceptionally well on the OSWorld benchmark, with a significantly higher success rate than the baseline, demonstrating its effectiveness in automating computer tasks. The framework not only improves efficiency but also enhances accessibility through automated interaction, providing new ways for people with disabilities to interact with technology.

Main functions of Agent-S

  • Autonomous Interaction and Task Automation: Agent-S interacts autonomously with computers based on a graphical user interface (GUI), automating complex, multi-step tasks.
  • Experience-enhanced hierarchical planning: The framework uses online network knowledge and internal experience to break down complex tasks and generate a series of executable subtasks.
  • Agent-Computer Interface (ACI):Agent-S uses ACI to enhance the reasoning and control capabilities of GUI agents based on multimodal large language models (MLLMs), ensuring accurate interaction with computer interfaces.
  • Continuous learning and memory updates: Agent-S uses self-assessment and experience summarization to continuously update narrative and episodic memories, adapting to environmental changes and improving task execution capabilities.
  • Cross-operating system compatibility: The framework demonstrates good versatility across different operating systems and can perform tasks in a variety of environments.

Agent-S Technical Principles

  • Experience-enhanced hierarchical planning:Agent-S combines online web search with internal experience retrieval, using narrative and episodic memory to plan and execute tasks.
  • Agent-Computer Interface (ACI): As an abstraction layer, ACI defines the paradigm for interaction with the environment, uses visual input and image-enhanced accessibility trees to precisely locate elements, restricts the agent's action space, and ensures safe and accurate execution.
  • Narrative memory and episodic memory: Narrative memory stores high-level task experiences, while episodic memory contains specific details of subtask execution; together, they support task planning and execution.
  • Self-assessment and memory update: Agent-S summarizes experiences based on a self-assessment module and updates internal memory with textual rewards to achieve continuous learning.
  • Multimodal Large Language Models (MLLMs): At the heart of reasoning, MLLMs can process and generate language, understand environmental changes, and execute language-based primitive actions to control the GUI.

Agent-S project address

Application scenarios of Agent-S

  • Office automation: Handle routine office tasks such as data entry, scheduling, document creation and editing, and automating office software operations (such as word processing, spreadsheet calculation, presentation creation, etc.).
  • Webpage interaction: Perform web navigation tasks such as online shopping, filling out forms, searching for information, and managing email accounts.
  • Personal Assistant: As a personal assistant, it helps users manage their schedules, remind them of important events, and book services (such as restaurants, hotels, and air tickets).
  • Customer Service: In the area of customer service, common queries and transactions are processed automatically, providing 24/7 automated support.
  • Education and training: Automating teaching support tasks, such as creating teaching materials, evaluating student assignments, and managing online course platforms.
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