AWorld

About

AWorld is a framework designed to bridge the gap between theoretical Multi-Agent System (MAS) capabilities and practical real-world applications. It allows users to quickly prototype real-world scenarios and task automation with AI-powered agents, extending them into generic agents or agent teams. With features like multi-tool environment support, standardized protocols, and a client-server architecture, AWorld enables efficient benchmarking, model training, and collaborative development for multi-agent systems.

Key Features

• Implements a client-server protocol compatible with Model Contest Protocol (MCP).
• 131 GitHub stars
• Enables delegation between multiple AI-powered agents.
• Provides a framework for standardized benchmarking and model training.
• Supports multiple environments including browsers, Android device simulation, shell, and file systems.
• Offers environment interfaces following gymnasium standards.

Use Cases

• Creating agentic prototypes for real-world scenarios.
• Building and evaluating multi-agent systems for task automation.
• Benchmarking agent capabilities under a unified protocol.