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Saaket Agashe
2024-10-14 15:51:19 -07:00
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<h1>
<img src="images/agent_s.png" alt="Logo" style="vertical-align:middle" width="60"> Agent S: An Open Agentic Framework that Uses Computers Like a Human
<h1 align="center">
<img src="images/agent_s.png" alt="Logo" style="vertical-align:middle" width="60"> Agent S:<br>
An Open Agentic Framework that Uses Computers Like a Human
</h1>
<p align="center">
<a href=https://saa1605.github.io> Saaket Agashe</a>, <a href=https://jiuzhouh.github.io/ >Jiuzhou Han</a>, <a href=https://scholar.google.com/citations?user=nfRYJJsAAAAJ&hl=zh-CN>Shuyu Gan</a>, <a href=https://sites.google.com/view/jiachen-yang/>Jiachen Yang</a>, <a href=https://angli.ai/>Ang Li</a>, <a href=https://eric-xw.github.io/>Xin Eric Wang</a>
</p>
<p align="center">
<a href="https://www.simular.ai/agent-s">🌐 [Website]</a>
<a href="https://arxiv.org/abs/2410.08164">📄 [Paper]</a>
🌐<a href="https://www.simular.ai/agent-s">[Website]</a>
📄<a href="https://arxiv.org/abs/2410.08164">[Paper]</a>
🎥<a href="https://www.youtube.com/watch?v=OBDE3Knte0g">[Video]</a>
</p>
## 💡 Introduction
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</p>
<p>
Agent S is a new agentic framework designed to enable computers to be used as intuitively as a human would. We introduce an Experience-Augmented Hierarchical Planning method. This method utilizes Online Web Knowledge for up-to-date information on frequently changing software and websites, along with Narrative Memory to leverage high-level experiences from past interactions. By breaking complex tasks into manageable subtasks and using Episodic Memory for step-by-step guidance, Agent S continuously refines its actions and learns from experience, achieving adaptable and effective task planning.
Welcome to **Agent S**, an open-source framework designed to enable autonomous interaction with computers through a Graphical User Interface (GUI). Our mission is to build intelligent agents that can learn from past experiences and perform complex tasks autonomously on your computer.
Whether you're interested in AI, automation, or contributing to cutting-edge agent-based systems, we're excited to have you here!
</p>
## 🎯 Results
## 🎯 Current Results
<p align="center">
<img src="./images/results.png" width="600">
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## 🛠️ Installation
Clone the Agent S Repository
Clone the epository
```
git clone https://github.com/simular-ai/Agent-S.git
```
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NOTE: We currently support running Agent-S on local system only for MacOS and Ubuntu through OpenACI.
## 🙌 Contributors
Were grateful to all the amazing people who have contributed to this project. Thank you! 🙏
[Contributors List](https://github.com/simular-ai/Agent-S/graphs/contributors)
## 💬 Citation
```
@misc{agashe2024agentsopenagentic,