AWorld MCP Server
inclusionAI/AWorld
[](https://agentrank-ai.com/tool/inclusionAI--AWorld/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Search, understand, reproduce, and improve an idea with ease
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
inclusionAI/AWorld is a Python tool licensed under MIT. Search, understand, reproduce, and improve an idea with ease Topics: world-model, mcp, agent-learning, agent-runtime, environment, agent-framework, browsecomp, gaia, rl-training, xbench.
Ranked #5287 out of 24846 indexed tools.
Has 1,242 GitHub stars.
Has 50 contributors.
Ecosystem
Score Breakdown
1,242 stars → well-known project
Last commit 29d ago → recently updated
42/99 issues closed → many open issues
50 contributors → active community
1 dependent → few downstream users
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
<div align="center"> # AWorld: The Agent Harness for Your World </div> <h4 align="center"> *"The Next Frontier for AI is Your Expertise"* [![Twitter Follow][twitter-image]][twitter-url] [![WeChat QR Code][wechat-image]][wechat-url] [![Discord][discord-image]][discord-url] [![License: MIT][license-image]][license-url] [![DeepWiki][deepwiki-image]][deepwiki-url] [![Tutorial][tutorial-image]][tutorial-url] </h4> <h4 align="center"> [中文版](./README_zh.md) | [Automation](#your-journey-with-aworld-cli) | [Evolution](#evolution) | [Contributing](#contributing) | </h4> --- <p align="justify"> General AI often hits a "wall of context"—the nuanced data, workflows, and intuition that define <em>your</em> world. An agent's true power lies not in the model alone, but in its <b>Agent Harness</b>: the framework orchestrating its tools, memory, context, and execution. This is the <b>AWorld Thesis</b>: A powerful harness is not enough. True AI scaling is unlocked only when experts like you eRead full README on GitHub →
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