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@ -26,7 +26,7 @@ In this demo, we showcase how to use DeerFlow to:
- [What are the top trending repositories on GitHub?](https://deerflow.tech/chat?replay=github-top-trending-repo) - [What are the top trending repositories on GitHub?](https://deerflow.tech/chat?replay=github-top-trending-repo)
- [Write an article about Nanjing's traditional dishes](https://deerflow.tech/chat?replay=nanjing-traditional-dishes) - [Write an article about Nanjing's traditional dishes](https://deerflow.tech/chat?replay=nanjing-traditional-dishes)
- [How to decorate a rental apartment?](https://deerflow.tech/chat?replay=rental-apartment-decoration) - [How to decorate a rental apartment?](https://deerflow.tech/chat?replay=rental-apartment-decoration)
- [Visit our official website to explore more replays.](https://deerflow.tech/) - [Visit our official website to explore more replays.](https://deerflow.tech/#case-studies)
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@ -128,12 +128,12 @@ bootstrap.bat -d
Open your browser and visit [`http://localhost:3000`](http://localhost:3000) to explore the web UI. Open your browser and visit [`http://localhost:3000`](http://localhost:3000) to explore the web UI.
Please visit the [`web`](./web/) directory for more details. Explore more details in the [`web`](./web/) directory.
## Supported Search Engines ## Supported Search Engines
Deer supports multiple search engines that can be configured in your `.env` file using the `SEARCH_API` variable: DeerFlow supports multiple search engines that can be configured in your `.env` file using the `SEARCH_API` variable:
- **Tavily** (default): A specialized search API for AI applications - **Tavily** (default): A specialized search API for AI applications
- Requires `TAVILY_API_KEY` in your `.env` file - Requires `TAVILY_API_KEY` in your `.env` file
@ -202,7 +202,7 @@ SEARCH_API=tavily
DeerFlow implements a modular multi-agent system architecture designed for automated research and code analysis. The system is built on LangGraph, enabling a flexible state-based workflow where components communicate through a well-defined message passing system. DeerFlow implements a modular multi-agent system architecture designed for automated research and code analysis. The system is built on LangGraph, enabling a flexible state-based workflow where components communicate through a well-defined message passing system.
![Architecture Diagram](./assets/architecture.png) ![Architecture Diagram](./assets/architecture.png)
> See it live at [deerflow.tech](https://deerflow.tech/) > See it live at [deerflow.tech](https://deerflow.tech/#multi-agent-architecture)
The system employs a streamlined workflow with the following components: The system employs a streamlined workflow with the following components: