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# 🦌 [About DeerFlow](https://github.com/bytedance/deer-flow)
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> Come from Open Source, Back to Open Source
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> **From Open Source, Back to Open Source**
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**DeerFlow** (**D**eep **E**xploration and **E**fficient **R**esearch **Flow**) is a community-driven AI automation framework that builds upon the incredible work of the open source community. Our goal is to combine language models with specialized tools for tasks like web search, crawling, and Python code execution, while giving back to the community that made this possible.
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**DeerFlow** (**D**eep **E**xploration and **E**fficient **R**esearch **Flow**) is a community-driven AI automation framework inspired by the remarkable contributions of the open source community. Our mission is to seamlessly integrate language models with specialized tools for tasks such as web search, crawling, and Python code execution—all while giving back to the community that made this innovation possible.
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## Github
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---
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[github.com/bytedance/deer-flow](https://github.com/bytedance/deer-flow)
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## 🌟 GitHub Repository
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## License
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Explore DeerFlow on GitHub: [github.com/bytedance/deer-flow](https://github.com/bytedance/deer-flow)
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This project is open source and available under the MIT License.
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---
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## Acknowledgments
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## 📜 License
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Special thanks to all the open source projects and contributors that make DeerFlow possible. We stand on the shoulders of giants.
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DeerFlow is proudly open source and distributed under the **MIT License**.
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In particular, we want to express our deep appreciation for:
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- [LangChain](https://github.com/langchain-ai/langchain) for their exceptional framework that powers our LLM interactions and chains
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- [LangGraph](https://github.com/langchain-ai/langgraph) for enabling our sophisticated multi-agent orchestration
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---
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For the web project, we want to express our deep appreciation for:
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- [Next.js](https://nextjs.org/) for their exceptional framework
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- [Shadcn](https://ui.shadcn.com/) for their minimalistic components that powers our UI
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- [Zustand](https://zustand.docs.pmnd.rs/) for their stunning state management
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- [Framer Motion](https://www.framer.com/motion/) for their amazing animation library
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- [React Markdown](https://www.npmjs.com/package/react-markdown) for their exceptional markdown rendering and customizability
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- Last but not least, special thanks to [SToneX](https://github.com/stonexer) for his great contribution for token-by-token visual effect.
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## 🙌 Acknowledgments
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These amazing projects form the foundation of DeerFlow and demonstrate the power of open source collaboration.
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We extend our heartfelt gratitude to the open source projects and contributors who have made DeerFlow a reality. We truly stand on the shoulders of giants.
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### Core Frameworks
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- **[LangChain](https://github.com/langchain-ai/langchain)**: A phenomenal framework that powers our LLM interactions and chains.
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- **[LangGraph](https://github.com/langchain-ai/langgraph)**: Enabling sophisticated multi-agent orchestration.
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- **[Next.js](https://nextjs.org/)**: A cutting-edge framework for building web applications.
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### UI Libraries
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- **[Shadcn](https://ui.shadcn.com/)**: Minimalistic components that power our UI.
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- **[Zustand](https://zustand.docs.pmnd.rs/)**: A stunning state management library.
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- **[Framer Motion](https://www.framer.com/motion/)**: An amazing animation library.
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- **[React Markdown](https://www.npmjs.com/package/react-markdown)**: Exceptional markdown rendering with customizability.
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### Special Thanks
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- **[SToneX](https://github.com/stonexer)**: For his invaluable contribution to token-by-token visual effects.
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These outstanding projects form the backbone of DeerFlow and exemplify the transformative power of open source collaboration.
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