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This is an example agent to deploy with LangGraph Cloud.
> 💡 **Tip:** If you would rather use `pyproject.toml` for managing dependencies in your LangGraph Cloud project, please check out [this repository](https://github.com/langchain-ai/langgraph-example-pyproject).
> [!TIP]
> If you would rather use `pyproject.toml` for managing dependencies in your LangGraph Cloud project, please check out [this repository](https://github.com/langchain-ai/langgraph-example-pyproject).
[LangGraph](https://github.com/langchain-ai/langgraph) is a library for building stateful, multi-actor applications with LLMs. The main use cases for LangGraph are conversational agents, and long-running, multi-step LLM applications or any LLM application that would benefit from built-in support for persistent checkpoints, cycles and human-in-the-loop interactions (ie. LLM and human collaboration).