This is an example monorepo with multiple agents to deploy with LangGraph Cloud.
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).
LangGraph shortens the time-to-market for developers using LangGraph, with a one-liner command to start a production-ready HTTP microservice for your LangGraph applications, with built-in persistence. This lets you focus on the logic of your LangGraph graph, and leave the scaling and API design to us. The API is inspired by the OpenAI assistants API, and is designed to fit in alongside your existing services.
In order to deploy this agent to LangGraph Cloud you will want to first fork this repo. After that, you can follow the instructions here to deploy to LangGraph Cloud.
This repository shows a few potential file structures all in one monorepo. To start with, all of the projects we build are inside of the subdirectory all_projects. Inside of this subdirectory we have two more subdirectories.
The first is called my_project, which could contain multiple projects, but in our case just contains one called project_one. Inside of project_one we setup a Python package using a pyproject.toml file to manage our dependencies. You will also notice that project_one doesn't just contain a main.py file, but also a utils folder that is imported into the main.py file.
The second subdirectory is called project_two which is a standalone Python package with the same overall structure as project_one but it uses requirements.txt instead of pyproject.toml to manage dependencies.
Inside our langgraph.json file you will first notice that our dependencies value is a list that includes the directories of both of our dependency files, and we also register both of our graphs, showcasing the ability of Langgraph to host multiple graphs from the same deployment.
This use case shows how LangGraph can be configured for hosting multiple graphs from within the same repo, even if the projects are nested in different subdirectories and use different dependency systems.