mirror of
https://github.com/camel-ai/owl.git
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230 lines
7.7 KiB
Markdown
230 lines
7.7 KiB
Markdown
<h1 align="center">
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🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
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🦉 OWL: 优化劳动力学习的通用智能体，用于处理现实世界的自动化任务
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</h1>
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<div align="center">
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[![文档][docs-image]][docs-url]
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[![Discord][discord-image]][discord-url]
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[![X][x-image]][x-url]
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[![Reddit][reddit-image]][reddit-url]
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[![微信][wechat-image]][wechat-url]
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[![微信][owl-image]][owl-url]
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[![Hugging Face][huggingface-image]][huggingface-url]
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[![Star][star-image]][star-url]
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[![软件许可证][package-license-image]][package-license-url]
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</div>
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<hr>
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<div align="center">
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<h4 align="center">
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[English README](https://github.com/camel-ai/owl/tree/main) |
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[社区](https://github.com/camel-ai/camel#community) |
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[安装](#️-installation) |
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[示例](https://github.com/camel-ai/owl/tree/main/owl) |
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[论文](https://arxiv.org/abs/2303.17760) |
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[引用](#-community) |
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[贡献](https://github.com/camel-ai/owl/graphs/contributors) |
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[CAMEL-AI](https://www.camel-ai.org/)
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</h4>
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<div align="center" style="background-color: #f0f7ff; padding: 10px; border-radius: 5px; margin: 15px 0;">
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<h3 style="color: #1e88e5; margin: 0;">
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🏆 OWL 在 GAIA 基准测试中取得 <span style="color: #d81b60; font-weight: bold; font-size: 1.2em;">58.18</span> 平均分，在开源框架中排名 <span style="color: #d81b60; font-weight: bold; font-size: 1.2em;">🏅️ #1</span>！ 🏆
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</h3>
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</div>
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<div align="center">
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🦉 OWL 是一个前沿的多智能体协作框架，推动任务自动化的边界，构建在 [CAMEL-AI Framework](https://github.com/camel-ai/camel)。
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我们的愿景是彻底变革 AI 智能体协作解决现实任务的方式。通过利用动态智能体交互，OWL 实现了跨多领域更自然、高效且稳健的任务自动化。
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</div>
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<br>
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</div>
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<!-- # Key Features -->
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# 📋 目录
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- [📋 目录](#-目录)
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- [🔥 新闻](#-新闻)
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- [🎬 演示视频](#-演示视频)
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- [🛠️ 安装](#️-安装)
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- [**克隆 Github 仓库**](#克隆-github-仓库)
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- [**设置环境**](#设置环境)
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- [**安装依赖**](#安装依赖)
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- [**设置环境变量**](#设置环境变量)
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- [🚀 快速开始](#-快速开始)
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- [🧪 实验](#-实验)
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- [⏱️ 未来计划](#️-未来计划)
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- [📄 许可证](#-许可证)
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- [🖊️ 引用](#️-引用)
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- [🔥 社区](#-社区)
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- [❓ 常见问题](#-常见问题)
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# 🔥 新闻
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- **[2025.03.07]**: 我们开源了 🦉 OWL 项目的代码库。
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# 🎬 演示视频
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https://private-user-images.githubusercontent.com/55657767/420211368-f29f477d-7eef-46da-8d7a-8f3bcf506da2.mp4
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https://private-user-images.githubusercontent.com/55657767/420212194-e813fc05-136a-485f-8df3-f10d9b4e63ec.mp4
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# 🛠️ 安装
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## **克隆 Github 仓库**
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```bash
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git clone https://github.com/camel-ai/owl.git
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cd owl
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```
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## **设置环境**
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使用 Conda（推荐）：
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```bash
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conda create -n owl python=3.11
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conda activate owl
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```
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使用 venv（备用）：
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```bash
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python -m venv owl_env
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# Windows 系统
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owl_env\Scripts\activate
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# Unix 或 MacOS 系统
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source owl_env/bin/activate
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```
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## **安装依赖**
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```bash
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python -m pip install -r requirements.txt
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```
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## **设置环境变量**
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在 `owl/.env_example` 文件中，你可以找到所有必要的 API 密钥以及各服务的注册网址。要使用这些 API 服务，请按照以下步骤操作：
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1. *复制并重命名*: 复制 `.env_example` 文件，并将副本重命名为 `.env`。
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2. *填写你的密钥*: 打开 `.env` 文件，在相应字段中填入你的 API 密钥。
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3. *如需使用更多其他模型*：请参考我们CAMEL的models文档：https://docs.camel-ai.org/key_modules/models.html#supported-model-platforms-in-camel
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> **注意**：为获得最佳性能，我们强烈建议使用 OpenAI 模型。我们通过测试发现，其他模型在处理复杂任务和基准测试时可能会导致性能显著降低。
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# 🚀 快速开始
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运行以下最小示例：
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```bash
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python owl/run.py
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```
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你可以通过修改 `run.py` 来运行自定义任务的 OWL 智能体：
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```python
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# Define your own task
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question = "Task description here."
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society = construct_society(question)
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answer, chat_history, token_count = run_society(society)
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logger.success(f"Answer: {answer}")
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```
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你可以尝试以下示例任务：
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- "查询苹果公司的最新股票价格"
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- "分析关于气候变化的最新推文情绪"
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- "帮我调试这段 Python 代码：[在此粘贴你的代码]"
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- "总结这篇研究论文的主要观点：[论文URL]"
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# 🧪 实验
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我们提供了一个脚本用于复现 GAIA 上的实验结果。
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你可以查看 `run_gaia_roleplaying.py` 文件，并运行以下命令：
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```bash
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python run_gaia_roleplaying.py
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```
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# ⏱️ 未来计划
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- [ ] 撰写一篇技术博客，详细介绍我们在现实任务中多智能体协作方面的探索与见解。
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- [ ] 通过引入更多针对特定领域任务的专业工具，进一步完善工具生态系统。
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- [ ] 开发更复杂的智能体交互模式和通信协议
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# 📄 许可证
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源代码采用 Apache 2.0 许可证。
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# 🖊️ 引用
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如果你觉得这个仓库对你有帮助，请引用：
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```
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@misc{owl2025,
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title = {OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation},
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author = {{CAMEL-AI.org}},
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howpublished = {\url{https://github.com/camel-ai/owl}},
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note = {Accessed: 2025-03-07},
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year = {2025}
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}
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```
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# 🔥 社区
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加入我们，参与更多讨论！
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<!--  -->
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# ❓ 常见问题
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**Q: 为什么我的Chrome浏览器显示空白页面，但控制台有输出结果？**
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A: 这是预期的行为。当OWL判断某个任务可以使用非浏览器工具（如搜索、代码分析等）完成时，浏览器窗口可能保持空白。浏览器仅在需要网页交互时才会被激活。我们计划在未来的更新中实现延迟加载以改善这一用户体验。
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[docs-image]: https://img.shields.io/badge/Documentation-EB3ECC
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[docs-url]: https://camel-ai.github.io/camel/index.html
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[star-image]: https://img.shields.io/github/stars/camel-ai/owl?label=stars&logo=github&color=brightgreen
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[star-url]: https://github.com/camel-ai/owl/stargazers
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[package-license-image]: https://img.shields.io/badge/License-Apache_2.0-blue.svg
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[package-license-url]: https://github.com/camel-ai/owl/blob/main/licenses/LICENSE
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[colab-url]: https://colab.research.google.com/drive/1AzP33O8rnMW__7ocWJhVBXjKziJXPtim?usp=sharing
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[colab-image]: https://colab.research.google.com/assets/colab-badge.svg
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[huggingface-url]: https://huggingface.co/camel-ai
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[huggingface-image]: https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-CAMEL--AI-ffc107?color=ffc107&logoColor=white
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[discord-url]: https://discord.camel-ai.org/
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[discord-image]: https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb
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[wechat-url]: https://ghli.org/camel/wechat.png
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[wechat-image]: https://img.shields.io/badge/WeChat-CamelAIOrg-brightgreen?logo=wechat&logoColor=white
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[x-url]: https://x.com/CamelAIOrg
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[x-image]: https://img.shields.io/twitter/follow/CamelAIOrg?style=social
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[twitter-image]: https://img.shields.io/twitter/follow/CamelAIOrg?style=social&color=brightgreen&logo=twitter
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[reddit-url]: https://www.reddit.com/r/CamelAI/
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[reddit-image]: https://img.shields.io/reddit/subreddit-subscribers/CamelAI?style=plastic&logo=reddit&label=r%2FCAMEL&labelColor=white
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[ambassador-url]: https://www.camel-ai.org/community
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[owl-url]: ./assets/qr_code.jpg
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[owl-image]: https://img.shields.io/badge/WeChat-OWLProject-brightgreen?logo=wechat&logoColor=white
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