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AIOS Monorepo MCP Server

@AndyLeong33dev

Basic information

Category

Developer Tools

Transports

stdio

Author

AndyLeong33dev

About AIOS Monorepo MCP Server

This repository contains all source code for AIOS (Langchain server, Website, Desktop application). This will be a good example using MCPs

#aios#langchain#mvp

AIOS Monorepo MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "AIOS-source-code-for-MVP": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

AIOS Monorepo MCP Server tools

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Overview

What is AIOS Monorepo?

The AIOS Monorepo contains the Artificial Intelligence Operating System (AIOS) project, split into an Electron-based desktop frontend application and a Python-based LangGraph backend server. It is intended for developers who want to build or run AIOS locally.

How to use AIOS Monorepo?

Set up the backend first: navigate to aios-langgraph-server, copy .env.example to .env, create a virtual environment with uv venv, activate it, run uv sync, then start the server with langgraph dev --no-browser. Then set up the frontend: navigate to aios-desktop-app, copy .env.example to .env, run npm install, then launch with npm run dev. The desktop app connects to the locally running backend.

Key features of AIOS Monorepo

  • Electron-based desktop frontend application
  • Python LangGraph backend server for AI functionalities
  • Uses uv Python package manager
  • Hot‑reloading during development
  • Production build scripts for Windows, macOS, and Linux

Use cases of AIOS Monorepo

  • Running the AIOS desktop application locally
  • Developing and testing AI workflows with LangGraph
  • Providing a user interface for interacting with AI services
  • Packaging the frontend for distribution on multiple platforms

Frequently asked questions

1

What are the prerequisites for running AIOS Monorepo?

Node.js (LTS recommended) and npm, Python 3.12.4 and pip, and the `uv` Python package manager.

2

How do I start the backend server?

After setting up the `aios-langgraph-server` directory, activate the `uv` virtual environment and run `langgraph dev --no-browser`. The server typically starts at `http://localhost:2024`.

3

How do I start the frontend desktop app?

After setting up the `aios-desktop-app` directory, run `npm run dev` to launch the Electron application with hot‑reloading enabled.

4

Where do I configure environment variables?

Both the backend and frontend use a `.env` file copied from `.env.example`. You must fill in necessary variables (e.g., API keys, database credentials) before running.

5

How do I build the desktop app for production?

Navigate to `aios-desktop-app` and use the commands `npm run build:win`, `npm run build:mac`, or `npm run build:linux` for the respective platform.

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