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* Add README_ko.md file

Introduced a new `README_ko.md` file to provide Korean documentation. Updated all README files to include a dropdown for choosing between available languages: English, Chinese, and Korean.

* Add acknowledgments for additional contributors in README_ko

Updated the Korean README to include acknowledgments for AAAJ, MetaGPT, and OpenHands.
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English | [中文](README_zh.md) <br>
[![GitHub stars](https://img.shields.io/github/stars/mannaandpoem/OpenManus?style=social)](https://github.com/mannaandpoem/OpenManus/stargazers) <details>
&ensp; <summary>🌐 Other Languages</summary>
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) &ensp;
[![Discord Follow](https://dcbadge.vercel.app/api/server/DYn29wFk9z?style=flat)](https://discord.gg/DYn29wFk9z) - English
- [中文](README_zh.md)
# 👋 OpenManus - [한국어](README_ko.md)
Manus is incredible, but OpenManus can achieve any idea without an *Invite Code* 🛫! </details>
Our team members [@Xinbin Liang](https://github.com/mannaandpoem) and [@Jinyu Xiang](https://github.com/XiangJinyu) (core authors), along with [@Zhaoyang Yu](https://github.com/MoshiQAQ), [@Jiayi Zhang](https://github.com/didiforgithub), and [@Sirui Hong](https://github.com/stellaHSR), we are from [@MetaGPT](https://github.com/geekan/MetaGPT). The prototype is launched within 3 hours and we are keeping building! [![GitHub stars](https://img.shields.io/github/stars/mannaandpoem/OpenManus?style=social)](https://github.com/mannaandpoem/OpenManus/stargazers)
&ensp;
It's a simple implementation, so we welcome any suggestions, contributions, and feedback! [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) &ensp;
[![Discord Follow](https://dcbadge.vercel.app/api/server/DYn29wFk9z?style=flat)](https://discord.gg/DYn29wFk9z)
Enjoy your own agent with OpenManus!
# 👋 OpenManus
We're also excited to introduce [OpenManus-RL](https://github.com/OpenManus/OpenManus-RL), an open-source project dedicated to reinforcement learning (RL)- based (such as GRPO) tuning methods for LLM agents, developed collaboratively by researchers from UIUC and OpenManus.
Manus is incredible, but OpenManus can achieve any idea without an *Invite Code* 🛫!
## Project Demo
Our team members [@Xinbin Liang](https://github.com/mannaandpoem) and [@Jinyu Xiang](https://github.com/XiangJinyu) (core authors), along with [@Zhaoyang Yu](https://github.com/MoshiQAQ), [@Jiayi Zhang](https://github.com/didiforgithub), and [@Sirui Hong](https://github.com/stellaHSR), we are from [@MetaGPT](https://github.com/geekan/MetaGPT). The prototype is launched within 3 hours and we are keeping building!
<video src="https://private-user-images.githubusercontent.com/61239030/420168772-6dcfd0d2-9142-45d9-b74e-d10aa75073c6.mp4?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.UuHQCgWYkh0OQq9qsUWqGsUbhG3i9jcZDAMeHjLt5T4" data-canonical-src="https://private-user-images.githubusercontent.com/61239030/420168772-6dcfd0d2-9142-45d9-b74e-d10aa75073c6.mp4?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.UuHQCgWYkh0OQq9qsUWqGsUbhG3i9jcZDAMeHjLt5T4" controls="controls" muted="muted" class="d-block rounded-bottom-2 border-top width-fit" style="max-height:640px; min-height: 200px"></video>
It's a simple implementation, so we welcome any suggestions, contributions, and feedback!
## Installation
Enjoy your own agent with OpenManus!
We provide two installation methods. Method 2 (using uv) is recommended for faster installation and better dependency management.
We're also excited to introduce [OpenManus-RL](https://github.com/OpenManus/OpenManus-RL), an open-source project dedicated to reinforcement learning (RL)- based (such as GRPO) tuning methods for LLM agents, developed collaboratively by researchers from UIUC and OpenManus.
### Method 1: Using conda
## Project Demo
1. Create a new conda environment:
<video src="https://private-user-images.githubusercontent.com/61239030/420168772-6dcfd0d2-9142-45d9-b74e-d10aa75073c6.mp4?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3NDEzMTgwNTksIm5iZiI6MTc0MTMxNzc1OSwicGF0aCI6Ii82MTIzOTAzMC80MjAxNjg3NzItNmRjZmQwZDItOTE0Mi00NWQ5LWI3NGUtZDEwYWE3NTA3M2M2Lm1wND9YLUFtei1BbGdvcml0aG09QVdTNC1ITUFDLVNIQTI1NiZYLUFtei1DcmVkZW50aWFsPUFLSUFWQ09EWUxTQTUzUFFLNFpBJTJGMjAyNTAzMDclMkZ1cy1lYXN0LTElMkZzMyUyRmF3czRfcmVxdWVzdCZYLUFtei1EYXRlPTIwMjUwMzA3VDAzMjIzOVomWC1BbXotRXhwaXJlcz0zMDAmWC1BbXotU2lnbmF0dXJlPTdiZjFkNjlmYWNjMmEzOTliM2Y3M2VlYjgyNDRlZDJmOWE3NWZhZjE1MzhiZWY4YmQ3NjdkNTYwYTU5ZDA2MzYmWC1BbXotU2lnbmVkSGVhZGVycz1ob3N0In0.UuHQCgWYkh0OQq9qsUWqGsUbhG3i9jcZDAMeHjLt5T4" data-canonical-src="https://private-user-images.githubusercontent.com/61239030/420168772-6dcfd0d2-9142-45d9-b74e-d10aa75073c6.mp4?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.UuHQCgWYkh0OQq9qsUWqGsUbhG3i9jcZDAMeHjLt5T4" controls="controls" muted="muted" class="d-block rounded-bottom-2 border-top width-fit" style="max-height:640px; min-height: 200px"></video>
```bash
conda create -n open_manus python=3.12 ## Installation
conda activate open_manus
``` We provide two installation methods. Method 2 (using uv) is recommended for faster installation and better dependency management.
2. Clone the repository: ### Method 1: Using conda
```bash 1. Create a new conda environment:
git clone https://github.com/mannaandpoem/OpenManus.git
cd OpenManus ```bash
``` conda create -n open_manus python=3.12
conda activate open_manus
3. Install dependencies: ```
```bash 2. Clone the repository:
pip install -r requirements.txt
``` ```bash
git clone https://github.com/mannaandpoem/OpenManus.git
### Method 2: Using uv (Recommended) cd OpenManus
```
1. Install uv (A fast Python package installer and resolver):
3. Install dependencies:
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh ```bash
``` pip install -r requirements.txt
```
2. Clone the repository:
### Method 2: Using uv (Recommended)
```bash
git clone https://github.com/mannaandpoem/OpenManus.git 1. Install uv (A fast Python package installer and resolver):
cd OpenManus
``` ```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
3. Create a new virtual environment and activate it: ```
```bash 2. Clone the repository:
uv venv
source .venv/bin/activate # On Unix/macOS ```bash
# Or on Windows: git clone https://github.com/mannaandpoem/OpenManus.git
# .venv\Scripts\activate cd OpenManus
``` ```
4. Install dependencies: 3. Create a new virtual environment and activate it:
```bash ```bash
uv pip install -r requirements.txt uv venv
``` source .venv/bin/activate # On Unix/macOS
# Or on Windows:
## Configuration # .venv\Scripts\activate
```
OpenManus requires configuration for the LLM APIs it uses. Follow these steps to set up your configuration:
4. Install dependencies:
1. Create a `config.toml` file in the `config` directory (you can copy from the example):
```bash
```bash uv pip install -r requirements.txt
cp config/config.example.toml config/config.toml ```
```
## Configuration
2. Edit `config/config.toml` to add your API keys and customize settings:
OpenManus requires configuration for the LLM APIs it uses. Follow these steps to set up your configuration:
```toml
# Global LLM configuration 1. Create a `config.toml` file in the `config` directory (you can copy from the example):
[llm]
model = "gpt-4o" ```bash
base_url = "https://api.openai.com/v1" cp config/config.example.toml config/config.toml
api_key = "sk-..." # Replace with your actual API key ```
max_tokens = 4096
temperature = 0.0 2. Edit `config/config.toml` to add your API keys and customize settings:
# Optional configuration for specific LLM models ```toml
[llm.vision] # Global LLM configuration
model = "gpt-4o" [llm]
base_url = "https://api.openai.com/v1" model = "gpt-4o"
api_key = "sk-..." # Replace with your actual API key base_url = "https://api.openai.com/v1"
``` api_key = "sk-..." # Replace with your actual API key
max_tokens = 4096
## Quick Start temperature = 0.0
One line for run OpenManus: # Optional configuration for specific LLM models
[llm.vision]
```bash model = "gpt-4o"
python main.py base_url = "https://api.openai.com/v1"
``` api_key = "sk-..." # Replace with your actual API key
```
Then input your idea via terminal!
## Quick Start
For unstable version, you also can run:
One line for run OpenManus:
```bash
python run_flow.py ```bash
``` python main.py
```
## How to contribute
Then input your idea via terminal!
We welcome any friendly suggestions and helpful contributions! Just create issues or submit pull requests.
For unstable version, you also can run:
Or contact @mannaandpoem via 📧email: mannaandpoem@gmail.com
```bash
## Community Group python run_flow.py
Join our networking group on Feishu and share your experience with other developers! ```
<div align="center" style="display: flex; gap: 20px;"> ## How to contribute
<img src="assets/community_group.jpg" alt="OpenManus 交流群" width="300" />
</div> We welcome any friendly suggestions and helpful contributions! Just create issues or submit pull requests.
## Star History Or contact @mannaandpoem via 📧email: mannaandpoem@gmail.com
[![Star History Chart](https://api.star-history.com/svg?repos=mannaandpoem/OpenManus&type=Date)](https://star-history.com/#mannaandpoem/OpenManus&Date) ## Community Group
Join our networking group on Feishu and share your experience with other developers!
## Acknowledgement
<div align="center" style="display: flex; gap: 20px;">
Thanks to [anthropic-computer-use](https://github.com/anthropics/anthropic-quickstarts/tree/main/computer-use-demo) <img src="assets/community_group.jpg" alt="OpenManus 交流群" width="300" />
and [browser-use](https://github.com/browser-use/browser-use) for providing basic support for this project! </div>
Additionally, we are grateful to [AAAJ](https://github.com/metauto-ai/agent-as-a-judge), [MetaGPT](https://github.com/geekan/MetaGPT) and [OpenHands](https://github.com/All-Hands-AI/OpenHands). ## Star History
OpenManus is built by contributors from MetaGPT. Huge thanks to this agent community! [![Star History Chart](https://api.star-history.com/svg?repos=mannaandpoem/OpenManus&type=Date)](https://star-history.com/#mannaandpoem/OpenManus&Date)
## Cite ## Acknowledgement
```bibtex
@misc{openmanus2025, Thanks to [anthropic-computer-use](https://github.com/anthropics/anthropic-quickstarts/tree/main/computer-use-demo)
author = {Xinbin Liang and Jinyu Xiang and Zhaoyang Yu and Jiayi Zhang and Sirui Hong}, and [browser-use](https://github.com/browser-use/browser-use) for providing basic support for this project!
title = {OpenManus: An open-source framework for building general AI agents},
year = {2025}, Additionally, we are grateful to [AAAJ](https://github.com/metauto-ai/agent-as-a-judge), [MetaGPT](https://github.com/geekan/MetaGPT) and [OpenHands](https://github.com/All-Hands-AI/OpenHands).
publisher = {GitHub},
journal = {GitHub repository}, OpenManus is built by contributors from MetaGPT. Huge thanks to this agent community!
howpublished = {\url{https://github.com/mannaandpoem/OpenManus}},
} ## Cite
``` ```bibtex
@misc{openmanus2025,
author = {Xinbin Liang and Jinyu Xiang and Zhaoyang Yu and Jiayi Zhang and Sirui Hong},
title = {OpenManus: An open-source framework for building general AI agents},
year = {2025},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/mannaandpoem/OpenManus}},
}
```

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<br>
<details>
<summary>🌐 Other Languages</summary>
- [English](README.md)
- [中文](README_zh.md)
- 한국어
</details>
[![GitHub stars](https://img.shields.io/github/stars/mannaandpoem/OpenManus?style=social)](https://github.com/mannaandpoem/OpenManus/stargazers)
&ensp;
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) &ensp;
[![Discord Follow](https://dcbadge.vercel.app/api/server/DYn29wFk9z?style=flat)](https://discord.gg/DYn29wFk9z)
# 👋 OpenManus
Manus는 놀라운 도구지만, OpenManus는 *초대 코드* 없이도 모든 아이디어를 실현할 수 있습니다! 🛫
우리 팀의 멤버인 [@Xinbin Liang](https://github.com/mannaandpoem)와 [@Jinyu Xiang](https://github.com/XiangJinyu) (핵심 작성자), 그리고 [@Zhaoyang Yu](https://github.com/MoshiQAQ), [@Jiayi Zhang](https://github.com/didiforgithub), [@Sirui Hong](https://github.com/stellaHSR)이 함께 했습니다. 우리는 [@MetaGPT](https://github.com/geekan/MetaGPT)로부터 왔습니다. 프로토타입은 단 3시간 만에 출시되었으며, 계속해서 발전하고 있습니다!
이 프로젝트는 간단한 구현에서 시작되었으며, 여러분의 제안, 기여 및 피드백을 환영합니다!
OpenManus를 통해 여러분만의 에이전트를 즐겨보세요!
또한 [OpenManus-RL](https://github.com/OpenManus/OpenManus-RL)을 소개하게 되어 기쁩니다. OpenManus와 UIUC 연구자들이 공동 개발한 이 오픈소스 프로젝트는 LLM 에이전트에 대해 강화 학습(RL) 기반 (예: GRPO) 튜닝 방법을 제공합니다.
## 프로젝트 데모
<video src="https://private-user-images.githubusercontent.com/61239030/420168772-6dcfd0d2-9142-45d9-b74e-d10aa75073c6.mp4?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.UuHQCgWYkh0OQq9qsUWqGsUbhG3i9jcZDAMeHjLt5T4" data-canonical-src="https://private-user-images.githubusercontent.com/61239030/420168772-6dcfd0d2-9142-45d9-b74e-d10aa75073c6.mp4?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.UuHQCgWYkh0OQq9qsUWqGsUbhG3i9jcZDAMeHjLt5T4" controls="controls" muted="muted" class="d-block rounded-bottom-2 border-top width-fit" style="max-height:640px; min-height: 200px"></video>
## 설치 방법
두 가지 설치 방법을 제공합니다. **방법 2 (uv 사용)** 이 더 빠른 설치와 효율적인 종속성 관리를 위해 권장됩니다.
### 방법 1: conda 사용
1. 새로운 conda 환경을 생성합니다:
```bash
conda create -n open_manus python=3.12
conda activate open_manus
```
2. 저장소를 클론합니다:
```bash
git clone https://github.com/mannaandpoem/OpenManus.git
cd OpenManus
```
3. 종속성을 설치합니다:
```bash
pip install -r requirements.txt
```
### 방법 2: uv 사용 (권장)
1. uv를 설치합니다. (빠른 Python 패키지 설치 및 종속성 관리 도구):
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
```
2. 저장소를 클론합니다:
```bash
git clone https://github.com/mannaandpoem/OpenManus.git
cd OpenManus
```
3. 새로운 가상 환경을 생성하고 활성화합니다:
```bash
uv venv
source .venv/bin/activate # Unix/macOS의 경우
# Windows의 경우:
# .venv\Scripts\activate
```
4. 종속성을 설치합니다:
```bash
uv pip install -r requirements.txt
```
## 설정 방법
OpenManus를 사용하려면 사용하는 LLM API에 대한 설정이 필요합니다. 아래 단계를 따라 설정을 완료하세요:
1. `config` 디렉토리에 `config.toml` 파일을 생성하세요 (예제 파일을 복사하여 사용할 수 있습니다):
```bash
cp config/config.example.toml config/config.toml
```
2. `config/config.toml` 파일을 편집하여 API 키를 추가하고 설정을 커스터마이징하세요:
```toml
# 전역 LLM 설정
[llm]
model = "gpt-4o"
base_url = "https://api.openai.com/v1"
api_key = "sk-..." # 실제 API 키로 변경하세요
max_tokens = 4096
temperature = 0.0
# 특정 LLM 모델에 대한 선택적 설정
[llm.vision]
model = "gpt-4o"
base_url = "https://api.openai.com/v1"
api_key = "sk-..." # 실제 API 키로 변경하세요
```
## 빠른 시작
OpenManus를 실행하는 한 줄 명령어:
```bash
python main.py
```
이후 터미널에서 아이디어를 작성하세요!
unstable 버전을 실행하려면 아래 명령어를 사용할 수도 있습니다:
```bash
python run_flow.py
```
## 기여 방법
모든 친절한 제안과 유용한 기여를 환영합니다! 이슈를 생성하거나 풀 리퀘스트를 제출해 주세요.
또는 📧 메일로 연락주세요. @mannaandpoem : mannaandpoem@gmail.com
## 커뮤니티 그룹
Feishu 네트워킹 그룹에 참여하여 다른 개발자들과 경험을 공유하세요!
<div align="center" style="display: flex; gap: 20px;">
<img src="assets/community_group.jpg" alt="OpenManus 交流群" width="300" />
</div>
## Star History
[![Star History Chart](https://api.star-history.com/svg?repos=mannaandpoem/OpenManus&type=Date)](https://star-history.com/#mannaandpoem/OpenManus&Date)
## 감사의 글
이 프로젝트에 기본적인 지원을 제공해 주신 [anthropic-computer-use](https://github.com/anthropics/anthropic-quickstarts/tree/main/computer-use-demo)와
[browser-use](https://github.com/browser-use/browser-use)에게 감사드립니다!
또한, [AAAJ](https://github.com/metauto-ai/agent-as-a-judge), [MetaGPT](https://github.com/geekan/MetaGPT), [OpenHands](https://github.com/All-Hands-AI/OpenHands)에 깊은 감사를 드립니다.
OpenManus는 MetaGPT 기여자들에 의해 개발되었습니다. 이 에이전트 커뮤니티에 깊은 감사를 전합니다!
## 인용
```bibtex
@misc{openmanus2025,
author = {Xinbin Liang and Jinyu Xiang and Zhaoyang Yu and Jiayi Zhang and Sirui Hong},
title = {OpenManus: An open-source framework for building general AI agents},
year = {2025},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/mannaandpoem/OpenManus}},
}
```

11
README_zh.md
View File

@ -1,4 +1,13 @@
[English](README.md) | 中文 <br>
<details>
<summary>🌐 Other Languages</summary>
- [English](README.md)
- 中文
- [한국어](README_ko.md)
</details>
[![GitHub stars](https://img.shields.io/github/stars/mannaandpoem/OpenManus?style=social)](https://github.com/mannaandpoem/OpenManus/stargazers) [![GitHub stars](https://img.shields.io/github/stars/mannaandpoem/OpenManus?style=social)](https://github.com/mannaandpoem/OpenManus/stargazers)
&ensp; &ensp;