AWorld

AWorld

By inclusionAI GitHub

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

mcp gym-environment
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?

  1. Automating tasks across web browsers and mobile devices.
  2. Evaluating agent capabilities through standardized benchmarks.
  3. 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.

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?

  1. Automating tasks across web browsers and mobile devices.
  2. Evaluating agent capabilities through standardized benchmarks.
  3. 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.

No tools information available.

This is a basic MCP Server-Client Impl using SSE

mcp server-client
View Details

-

mcp model-context-protocol
View Details

Buttplug.io Model Context Protocol (MCP) Server

mcp buttplug
View Details

MCP web search using perplexity without any API KEYS

mcp puppeteer
View Details

free MCP server hosting using vercel

mcp mantle-network
View Details

MCPHubs is a website that showcases projects related to Anthropic's Model Context Protocol (MCP)

mcp mcp-server
View Details