---
title: "Agent-S"
type: "tool"
slug: "simular-ai-agent-s"
canonical_url: "https://www.graphcanon.com/tools/simular-ai-agent-s"
github_url: "https://github.com/simular-ai/Agent-S"
homepage_url: "https://www.simular.ai"
stars: 11985
forks: 1406
primary_language: "Python"
license: "Apache-2.0"
categories: ["ai-agents"]
tags: ["in-context-reinforcement-learning", "memory", "agent-computer-interface", "gui-agents", "computer-automation", "mllm", "grounding", "ai-agents"]
updated_at: "2026-07-07T18:32:42.629157+00:00"
---

# Agent-S

> Agent S: Use Computer Like a Human

An open agentic framework designed to emulate human-like interaction with computers, capable of surpassing human performance in OSWorld benchmarks.

## Facts

- Repository: https://github.com/simular-ai/Agent-S
- Homepage: https://www.simular.ai
- Stars: 11,985 · Forks: 1,406 · Open issues: 36 · Watchers: 89
- Primary language: Python
- License: Apache-2.0
- Last pushed: 2026-05-13T07:28:44+00:00

## Categories

- [AI Agents](/categories/ai-agents.md)

## Tags

in-context-reinforcement-learning, memory, agent-computer-interface, gui-agents, computer-automation, mllm, grounding, ai-agents

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## README (excerpt)

```text
<h1 align="center">
  <img src="images/agent_s.png" alt="Logo" style="vertical-align:middle" width="60"> Agent S:
  <small>Use Computer Like a Human</small>
</h1>

<h2 align="center">🏆 Agent S3: First to Surpass Human Performance on OSWorld (72.60%)</h2>

<p align="center">&nbsp;
  🌐 <a href="https://www.simular.ai/articles/agent-s3">[S3 blog]</a>&nbsp;
  📄 <a href="https://arxiv.org/abs/2510.02250">[S3 Paper]</a>&nbsp;
  🎥 <a href="https://www.youtube.com/watch?v=VHr0a3UBsh4">[S3 Video]</a>
</p>

<p align="center">&nbsp;
  🌐 <a href="https://www.simular.ai/articles/agent-s2-technical-review">[S2 blog]</a>&nbsp;
  📄 <a href="https://arxiv.org/abs/2504.00906">[S2 Paper (COLM 2025)]</a>&nbsp;
  🎥 <a href="https://www.youtube.com/watch?v=wUGVQl7c0eg">[S2 Video]</a>
</p>

<p align="center">&nbsp;
  🌐 <a href="https://www.simular.ai/agent-s">[S1 blog]</a>&nbsp;
  📄 <a href="https://arxiv.org/abs/2410.08164">[S1 Paper (ICLR 2025)]</a>&nbsp;
  🎥 <a href="https://www.youtube.com/watch?v=OBDE3Knte0g">[S1 Video]</a>
</p>

<p align="center">&nbsp;
<a href="https://trendshift.io/repositories/13151" target="_blank"><img src="https://trendshift.io/api/badge/repositories/13151" alt="simular-ai%2FAgent-S | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</p>

<p align="center">
  <img src="https://img.shields.io/badge/OS-Windows-blue?logo=windows&logoColor=white" alt="Windows">
  <img src="https://img.shields.io/badge/OS-macOS-black?logo=apple&logoColor=white" alt="macOS">
  <img src="https://img.shields.io/badge/OS-Linux-yellow?logo=linux&logoColor=black" alt="Linux">
  <a href="https://discord.gg/E2XfsK9fPV">
    <img src="https://dcbadge.limes.pink/api/server/https://discord.gg/E2XfsK9fPV?style=flat" alt="Discord">
  </a>
  &nbsp;&nbsp;
  <a href="https://pepy.tech/projects/gui-agents">
    <img src="https://static.pepy.tech/badge/gui-agents" alt="PyPI Downloads">
  </a>
</p>

<div align="center">
  
  <a href="https://www.readme-i18n.com/simular-ai/Agent-S?lang=de">Deutsch</a> | 
  <a href="https://www.readme-i18n.com/simular-ai/Agent-S?lang=es">Español</a> | 
  <a href="https://www.readme-i18n.com/simular-ai/Agent-S?lang=fr">français</a> | 
  <a href="https://www.readme-i18n.com/simular-ai/Agent-S?lang=ja">日本語</a> | 
  <a href="https://www.readme-i18n.com/simular-ai/Agent-S?lang=ko">한국어</a> | 
  <a href="https://www.readme-i18n.com/simular-ai/Agent-S?lang=pt">Português</a> | 
  <a href="https://www.readme-i18n.com/simular-ai/Agent-S?lang=ru">Русский</a> | 
  <a href="https://www.readme-i18n.com/simular-ai/Agent-S?lang=zh">中文</a>
</div>

<div align="center">
  &nbsp;&nbsp;
<p>Skip the setup? Try Agent S in <a href="https://cloud.simular.ai/">Simular Cloud</a>
</div>

## 🥳 Updates
- [x] **2025/12/15**: Agent S3 is the **first** to surpass human-level performance on OSWorld with an impressive score of **72.60%**!
- [x] **2025/10/02**: Released Agent S3 and its [technical paper](https://arxiv.org/abs/2510.02250), setting a new SOTA of **69.9%** on OSWorld (approaching 72% human performance), with strong generalizability on WindowsAgentArena and AndroidWorld! It is also simpler, faster, and more flexible.
- [x] **2025/08/01**: Agent S2.5 is released (gui-agents v0.2.5): simpler, better, and faster! New SOTA on [OSWorld-Verified](https://os-world.github.io)!
- [x] **2025/07/07**: The [Agent S2 paper](https://arxiv.org/abs/2504.00906) is accepted to COLM 2025! See you in Montreal!
- [x] **2025/04/27**: The Agent S paper won the Best Paper Award 🏆 at ICLR 2025 Agentic AI for Science Workshop!
- [x] **2025/04/01**: Released the [Agent S2 paper](https://arxiv.org/abs/2504.00906) with new SOTA results on OSWorld, WindowsAgentArena, and AndroidWorld!
- [x] **2025/03/12**: Released Agent S2 along with v0.2.0 of [gui-agents](https://github.com/simular-ai/Agent-S), the new state-of-the-art for computer use agents (CUA), outperforming OpenAI's CUA/Operator and Anthropic's Claude 3.7 Sonnet Computer-Use!
- [x] **
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/simular-ai-agent-s`](/api/graphcanon/tools/simular-ai-agent-s)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_