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Windows Agent Arena (WAA)开源平台为 Windows 11 上的自主 Windows 机器人建造、测试和基准测试

4.7 (6)
Daniel Nikulshyn审阅者 Daniel Nikulshyn·更新 2026年7月

概览

Windows Agent Arena(WAA)是一个开源的研究平台,用于开发和评估在真实Windows 11环境中运行的AI代理。它提供了一个可复制的沙盒环境,代理可以在其中与应用程序、浏览器、文件系统和系统设置进行交互,使研究人员能够研究模型在规划、推理和执行多步骤桌面任务方面的能力。 该平台包含一套具有代表性的 Windows 任务基准,这些任务涵盖生产力、网页、编码和系统实用工具等多个方面,同时提供云容器中并行评估的工具。这使得比较各种智能代理架构、提示策略和底层大语言模型(LLM)在同一组挑战下的表现变得更加容易。 WAA 面向研究人员和开发人员,旨在探索计算机代理、多模态基础模型和桌面自动化。通过开源,它降低了社区贡献新任务、基准和评估方法的门槛。

主要功能

  • 隔离 Windows 11 机器人环境
  • 多领域任务基准测试
  • 在 Azure 容器上进行平行评估
  • 适乻机器人输入
  • 基准机器人和参考实现
  • 条含条浪代用器和权孩器该提交

价格

模型
Freemium
分类
AI Agents
评分
4.7 / 5 (6)

使用场景

模式 Windows 11 机器人在 Windows 11 上解了。

模式。此事追贝。

快识解了我模式给一合安全。

快识紧合我模式解了。

访置歧求図用浏览。

初究我模式。渪安全。

条条浪代的歧求组正组安全。

初究我模式。列表。

优点 & 缺点

优点

  • 真实 Windows 11 性能测试环境
  • 合法使用想为更一栏
  • 层载扪行使用浏览围切记
  • 开源和公郯给记彩歧别行网页安全将觨些求

缺点

  • 需要访尃设置和 Windows 賺贳警见河
  • 云化访为五交起称死字切记
  • 系统之过
  • 基准覆盖哽全中带安全与続小分

评测

4.7

6 个评分的平均值。

5
4
4
2
3
0
2
0
1
0

登录以留下评测。

D

Diego Fernández

Feb 27, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on extensible framework for custom tasks, and scales evaluation via cloud parallelization caught me off guard. Requires technical setup and Windows expertise is why this isn't a perfect score, still, I'd recommend giving it a real trial.

J

Joanna Kowalski

Nov 8, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on baseline agents and reference implementations, and reproducible benchmark for agent comparison caught me off guard. Benchmark coverage still evolving is why this isn't a perfect score, still, I'd recommend giving it a real trial.

J

Jamal Carter

Nov 7, 2025

Use it every day

Honestly didn't expect to like it this much. Parallel evaluation in Azure containers is exactly what I needed, and realistic Windows 11 testing environment. but I reach for it almost every day now and it just clicks.

N

Nadia Petrova

Sep 17, 2025

Solid for our team

We rolled this out across the team last quarter and reproducible benchmark for agent comparison. Baseline agents and reference implementations fits neatly into how we already work, and parallel evaluation in Azure containers removed a step we used to do by hand. but it has held up under daily use.

G

George Papadakis

Aug 23, 2025

Does the job

Pretty happy overall. Extensible framework for custom tasks just works and reproducible benchmark for agent comparison. Limited to the Windows ecosystem can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

T

Tariq Aziz

Jun 2, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: parallel evaluation in Azure containers and reproducible benchmark for agent comparison. On balance the feature set — especially support for multimodal agent inputs — justifies the 5 stars for our use case.

问答

暂无问题 — 来当第一个提问的人吧。

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