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<h1>
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<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
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<h1 align="center">
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<img src="images/agent_s.png" alt="Logo" style="vertical-align:middle" width="60"> Agent S:<br>
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An Open Agentic Framework that Uses Computers Like a Human
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</h1>
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<p align="center">
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<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>
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</p>
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<p align="center">
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<a href="https://www.simular.ai/agent-s">🌐 [Website]</a>
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<a href="https://arxiv.org/abs/2410.08164">📄 [Paper]</a>
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🌐<a href="https://www.simular.ai/agent-s">[Website]</a>
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📄<a href="https://arxiv.org/abs/2410.08164">[Paper]</a>
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🎥<a href="https://www.youtube.com/watch?v=OBDE3Knte0g">[Video]</a>
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</p>
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## 💡 Introduction
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</p>
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<p>
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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.
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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.
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Whether you're interested in AI, automation, or contributing to cutting-edge agent-based systems, we're excited to have you here!
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</p>
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## 🎯 Results
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## 🎯 Current Results
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<p align="center">
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<img src="./images/results.png" width="600">
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## 🛠️ Installation
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Clone the Agent S Repository
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Clone the epository
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```
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git clone https://github.com/simular-ai/Agent-S.git
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```
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@@ -114,6 +114,11 @@ This will show a user query prompt where you can enter your query and interact w
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NOTE: We currently support running Agent-S on local system only for MacOS and Ubuntu through OpenACI.
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## 🙌 Contributors
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We’re grateful to all the amazing people who have contributed to this project. Thank you! 🙏
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[Contributors List](https://github.com/simular-ai/Agent-S/graphs/contributors)
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## 💬 Citation
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```
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@misc{agashe2024agentsopenagentic,
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