AppWorld

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

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License

Apache License V2.0

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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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AppWorld

World of apps for benchmarking interactive coding agent

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Features

Project Samples

Project Activity

Categories

License

Follow AppWorld

User Reviews

Additional Project Details

Operating Systems

Programming Language

Related Categories

Registered