- AWorld: Advancing Agentic AI
AWorld: Advancing Agentic AI
Build, evaluate and run General Multi-Agent Assistance with ease
Overview
what is AWorld?
AWorld is a framework designed to build, evaluate, and run General Multi-Agent Assistance systems with ease, bridging the gap between theoretical Multi-Agent System (MAS) capabilities and practical implementation in real-world applications.
how to use AWorld?
To use AWorld, install it via Python, configure your environment with the necessary AI model API keys, and either run pre-defined agents or create your own agents using the provided tutorials and examples.
key features of AWorld?
- Environment multi-tool support including browsers and Android device simulation.
- AI-powered agents capable of delegation and task execution.
- Standardized protocols for agent evaluation and model training.
- Web interface for execution visualization and performance reporting.
use cases of AWorld?
- Automating tasks across web browsers and mobile devices.
- Evaluating agent capabilities through standardized benchmarks.
- Training models in a collaborative competition cycle to improve performance.
FAQ from AWorld?
- Can AWorld be used for both computer and mobile tasks?
Yes! AWorld supports tasks across various environments including web browsers and Android devices.
- Is AWorld open-source?
Yes! AWorld is available on GitHub and contributions are welcome.
- What programming language is AWorld built with?
AWorld is built using Python.
Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
inclusionAIStar
248Language
PythonLicense
MIT licenseCategory
research-and-data
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