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.
@AndyLeong33dev
Basic information
This repository contains all source code for AIOS (Langchain server, Website, Desktop application). This will be a good example using MCPs
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"AIOS-source-code-for-MVP": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
uv Python package managerNode.js (LTS recommended) and npm, Python 3.12.4 and pip, and the `uv` Python package manager.
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`.
After setting up the `aios-desktop-app` directory, run `npm run dev` to launch the Electron application with hot‑reloading enabled.
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.
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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