Windows Agent Arena (WAA) logo

Windows Agent Arena (WAA)Open-source platform to build, test, and benchmark AI agents that automate Windows 11.

4.7 (6)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Windows Agent Arena (WAA) is an open-source research platform for developing and evaluating AI agents that operate within a real Windows 11 environment. It provides a reproducible sandbox where agents can interact with applications, browsers, file systems, and system settings, enabling researchers to study how well models plan, reason, and execute multi-step desktop tasks. The platform includes a benchmark suite of representative Windows tasks across productivity, web, coding, and system utilities, along with tooling for parallel evaluation in cloud containers. This makes it easier to compare agent architectures, prompting strategies, and underlying models on a consistent set of challenges. WAA is aimed at researchers and developers exploring computer-use agents, multimodal foundation models, and desktop automation. By being open source, it lowers the barrier for the community to contribute new tasks, baselines, and evaluation methodology.

Key features

  • Sandboxed Windows 11 agent environment
  • Curated multi-domain task benchmark
  • Parallel evaluation in Azure containers
  • Support for multimodal agent inputs
  • Baseline agents and reference implementations
  • Extensible framework for custom tasks

Pricing

Model
Freemium
Category
AI Agents
Rating
4.7 / 5 (6)

Use cases

Benchmark Desktop Agents on Windows 11

Evaluate and compare AI agent architectures on a curated suite of productivity, web, coding, and system tasks within a reproducible Windows 11 sandbox.

Scale Agent Evaluations in the Cloud

Run parallel agent evaluations in Azure containers to accelerate testing across many tasks, prompts, and model configurations.

Prototype Multimodal Desktop Agents

Develop and iterate on agents that use multimodal inputs to interact with Windows applications, browsers, files, and system settings.

Extend the Framework with Custom Tasks

Add domain-specific Windows tasks and baseline implementations to study how agents plan and execute multi-step workflows in your environment.

Pros & Cons

Pros

  • Realistic Windows 11 testing environment
  • Reproducible benchmark for agent comparison
  • Scales evaluation via cloud parallelization
  • Open source and community-extensible

Cons

  • Requires technical setup and Windows expertise
  • Cloud-scale runs can incur compute costs
  • Limited to the Windows ecosystem
  • Benchmark coverage still evolving

Reviews

4.7

Average from 6 ratings.

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DF

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.

JK

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.

Jamal Carter

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.

NP

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.

George Papadakis

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.

TA

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.

Q&A

Is the platform extensible for custom tasks?

Yes, WAA is designed as an extensible framework that lets users add custom tasks, and it includes baseline agents and reference implementations to aid development.

Asked by Petra Vogel · Feb 19, 2026

What are the main limitations of using WAA?

WAA requires technical setup and Windows expertise, and while cloud parallel runs scale, they can incur compute costs. It is limited to the Windows ecosystem, and its benchmark coverage is still evolving.

Asked by Mireille Dupont · Feb 13, 2026

How does WAA handle benchmark tasks and evaluation?

WAA ships a curated benchmark suite covering productivity, web, coding, and system utilities. It supports parallel evaluation in Azure containers, allowing researchers to compare agent architectures, prompting strategies, and models on a consistent set of challenges.

Asked by Youssef El-Sayed · Feb 10, 2026

What is Windows Agent Arena and who is it for?

Windows Agent Arena is an open‑source research platform that provides a sandboxed Windows 11 environment for building, testing, and benchmarking AI agents that perform desktop tasks. It targets researchers and developers working on computer‑use agents and multimodal foundations.

Asked by Vincenzo Greco · Dec 7, 2025

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