Langgraph Agents Template

Vertical AI Agents Starter Template

[](https://github.com/langchain-ai/react-agent/actions/workflows/unit-tests.yml) [](https://github.com/langchain-ai/react-agent/actions/workflows/integration-tests.yml)

Directory Structure

• All prototyping notebooks are in the prototypes directory.
• All final agents will live in in the src directory.

Getting Started

Prerequisites

1. Install uv Package Manager:

   pip install uv

Local Setup

To get startedfollow these steps:

1. **Clone the repository:**

   git clone https://github.com/...
   cd ...

2. **Create a `.env` file:**

Copy the `.env.example` file to `.env` and update the environment variables as needed:

cp .env.example .env

1. Run LangGraph Server:

a. Install uv package manager ```python pip install uv```

b. Create Virtual Environment and activate it

uv venv
source .venv/bin/activate

c. Install packages in pyproject.toml

uv run

d. Run LangGraph Server

• Ensure you have docker engine running (i.e: Open Docker Desktop)

uv pip install langgraph-cli
uv run langgraph up

If you get any error in `d` step stop all containers, run `docker system prune` and try again.

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How To Use With Docker & Compose file

Step 01 : Clone This Repo

https://github.com/panaversity/langgraph-agents-template.git

Step 02 : Create Docker Image

• Install Docker Desktop

• Open Docker Desktop

• Run Below Command to create Docker Image & also Container up

docker compose up 

Or if we want to run in detach mode ( Background )

docker compose up -d 

Step 03 : Open Lang