AWorld
CreatedinclusionAI
Facilitates the building, evaluation, and running of general multi-agent assistance systems.
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.