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# 🚀 Prebuilt Agents

LangGraph includes a prebuilt React agent. For more information on how to use it, 
check out our [how-to guides](https://langchain-ai.github.io/langgraph/how-tos/#prebuilt-react-agent).

If you’re looking for other prebuilt libraries, explore the community-built options 
below. These libraries can extend LangGraph's functionality in various ways.

## 📚 Available Libraries

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| Name | GitHub URL | Description | Weekly Downloads |
| --- | --- | --- | --- |
| **trustcall** | [hinthornw/trustcall](https://github.com/hinthornw/trustcall) | Tenacious tool calling built on LangGraph | 11189 |
| **langgraph-supervisor** | [langchain-ai/langgraph-supervisor](https://github.com/langchain-ai/langgraph-supervisor) | Build supervisor multi-agent systems with LangGraph | 1291 |
| **breeze-agent** | [andrestorres123/breeze-agent](https://github.com/andrestorres123/breeze-agent) | A streamlined research system built inspired on STORM and built on LangGraph | 226 |

## ✨ Contributing Your Library

Have you built an awesome open-source library using LangGraph? We'd love to feature 
your project on the official LangGraph documentation pages! 🏆

To share your project, simply open a Pull Request adding an entry for your package in our [packages.yml](https://github.com/langchain-ai/langgraph/blob/main/docs/_scripts/third_party_page/packages.yml) file.

**Guidelines**

- Your repo must be distributed as an installable package (e.g., PyPI for Python, npm 
  for JavaScript/TypeScript, etc.) 📦
- The repo should either use the Graph API (exposing a `StateGraph` instance) or 
  the Functional API (exposing an `entrypoint`).
- The package must include documentation (e.g., a `README.md` or docs site) 
  explaining how to use it.
  
We'll review your contribution and merge it in!

Thanks for contributing! 🚀