AW

AWorld

Build, evaluate and run General Multi-Agent Assistance with ease

#mcp#gym-environment
Created by inclusionAI2025/03/28
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What is AWorld?

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.

As an MCP (Model Context Protocol) server, AWorld enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

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.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like AWorld can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like AWorld provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.