Google PageRank for AI agents. 25,000+ tools indexed.

AWorld MCP Server

inclusionAI/AWorld

Score: 63.9 Rank #5287 Agent Framework
[![AgentRank](https://agentrank-ai.com/api/v1/badge/inclusionAI--AWorld)](https://agentrank-ai.com/tool/inclusionAI--AWorld/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
Are you the maintainer of inclusionAI/AWorld? Claim this listing →

Search, understand, reproduce, and improve an idea with ease

Add AgentRank to Claude Code Discover and compare tools like inclusionAI/AWorld — your AI finds the right one automatically
Get API Access →
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

Python MIT
world-modelmcpagent-learningagent-runtimeenvironmentagent-frameworkbrowsecompgaiarl-trainingxbench

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1,242

1,242 stars → well-known project

Freshness 25% 29d ago

Last commit 29d ago → recently updated

Issue Health 25% 42%

42/99 issues closed → many open issues

Contributors 10% 50

50 contributors → active community

Dependents 25% 1

1 dependent → few downstream users

npm Downloads N/A
PyPI Downloads N/A
Forks 130
Description Good
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Issue Health high impact

You have 57 open vs 42 closed issues — triaging stale issues improves health

Badge all embed codes →

AgentRank score for inclusionAI/AWorld
[![AgentRank](https://agentrank-ai.com/api/v1/badge/inclusionAI--AWorld)](https://agentrank-ai.com/tool/inclusionAI--AWorld/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
<a href="https://agentrank-ai.com/tool/inclusionAI--AWorld/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/inclusionAI--AWorld" alt="AgentRank"></a>

Embed Widget docs →

Embed a rich score widget on your site or blog.

<script src="https://agentrank-ai.com/embed.js" data-tool="inclusionAI/AWorld"></script>

Matched Queries

topic:mcp

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 e
Read full README on GitHub →

Get the weekly AgentRank digest

Top movers, new tools, ecosystem insights — straight to your inbox.