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Agent SOpen-source GUI agent framework that lets an LLM use your computer like a human via an Agent-Computer Interface.

4.6 (5)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Agent S is an open-source GUI agent framework that enables large language models (LLMs) to interact with computers like humans via an Agent-Computer Interface. The framework allows LLMs to learn from past experiences and perform complex tasks autonomously on a computer. Agent S is designed for single-monitor screens and supports Linux, Mac, and Windows platforms. The framework has achieved state-of-the-art results on various benchmarks, including OSWorld, WindowsAgentArena, and AndroidWorld. Agent S3, the latest version, has surpassed human-level performance on OSWorld with a score of 72.60%. It has also demonstrated strong zero-shot generalization capabilities. Agent S provides a flexible and modular architecture for building GUI agents. The framework includes a library called gui-agents, which allows users to easily integrate Agent S with their applications. The library supports multiple platforms and provides a simple installation process. The development of Agent S is focused on advancing the capabilities of autonomous GUI agents. The framework has the potential to be used in various applications, including automation, AI research, and computer vision. However, users should exercise caution when running Agent S, as it controls the computer by running Python code.

Key features

  • Autonomous interaction with computers
  • Agent-Computer Interface
  • Supports Linux, Mac, and Windows
  • Python-based code control
  • Behavior Best-of-N performance enhancement
  • GUI-agents library

Pricing

Model
Free
Rating
4.6 / 5 (5)

Use cases

Automate repetitive desktop workflows

Use an LLM-driven agent to navigate GUIs, click buttons, and fill forms across applications, eliminating manual repetition for routine computer tasks.

Build custom computer-use agents

Developers can leverage the open-source framework and Agent-Computer Interface to prototype and deploy LLM agents that interact with operating systems like a human user.

Research on GUI agent capabilities

Provides a reproducible framework for academics and AI researchers to benchmark and study how language models perform real-world computer interaction tasks.

QA testing of desktop applications

Deploy an agent to exercise GUI workflows in software products, validating UI behavior across scenarios without scripting every step manually.

Pros & Cons

Pros

  • Achieves human-level performance on OSWorld
  • Strong zero-shot generalization
  • Simpler, faster, and more flexible than previous versions

Cons

  • Requires careful use due to its ability to control the computer
  • Not clear on the limitations of its usage on multi-monitor screens

Reviews

4.6

Average from 5 ratings.

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Yuki Mori

Apr 28, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the API, and it is genuinely easy to set up caught me off guard. Pricing gets steep at scale is why this isn't a perfect score, still, I'd recommend giving it a real trial.

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Leila Hassan

Apr 19, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: the onboarding and it saves real time. Where it lags: a few rough edges remain. On balance the feature set — especially the dashboard — justifies the 5 stars for our use case.

H

Hiroshi Tanaka

Dec 1, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the onboarding, and the value for money is strong caught me off guard. The docs could be deeper is why this isn't a perfect score, still, I'd recommend giving it a real trial.

O

Olga Ivanova

Oct 4, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is the dashboard — handled better than most — and the value for money is strong. Pricing gets steep at scale is my one real gripe. Worth the time if this is your use case.

K

Kwame Mensah

Jul 21, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is the core workflow — handled better than most — and the value for money is strong. A few rough edges remain is my one real gripe. Worth the time if this is your use case.

Q&A

Is Agent S free to use, and can I self-host or modify it?

Yes. Agent S is open-source, so you can use, self-host, and modify it according to its license terms. This makes it suitable for developers and researchers who want full control over the agent's behavior and integrations.

What is Agent S and how does it interact with my computer?

Agent S is an open-source GUI agent framework that enables a large language model to operate your computer like a human user. It does this through an Agent-Computer Interface (ACI), allowing the LLM to perceive and control graphical applications.

What are common use cases for Agent S?

Agent S is designed for tasks where an LLM needs to operate desktop GUI applications autonomously, such as automating workflows, interacting with software that lacks APIs, or research into computer-using AI agents via its Agent-Computer Interface.

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