AppWorld is a framework developed by Stony Brook University's NLP group to simulate environments for training and evaluating dialogue agents in task-oriented applications.

Features

  • Provides simulated environments for dialogue agent training
  • Supports task-oriented scenarios to evaluate agent performance
  • Open-source and extensible for academic and industrial research
  • Integrates with natural language processing tools for language understanding
  • Allows customization of tasks and environments for specific applications
  • Facilitates research in dialogue systems and human-computer interaction

Project Samples

AppWorld Screenshot 1

Project Activity

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Categories

Agentic AI, AI Agent Frameworks, AI Agents

License

Apache License V2.0

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AppWorld Web Site

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Agentic AI Tool, Python AI Agent Frameworks, Python AI Agents

Registered

2025-01-29
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