AIOS Monorepo

Name: AIOS Monorepo
Author: AndyLeong33dev

@AndyLeong33dev

AIOS Monorepo について

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

#aios #langchain #mvp

基本情報

カテゴリ

開発者ツール

ランタイム

node

トランスポート

stdio

公開者

AndyLeong33dev

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from AIOS Monorepo

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.

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.

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.

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.

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.

「開発者ツール」の他のコンテンツ

Golf

golf-mcp

Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents

834