AIOS Monorepo MCP Server

@AndyLeong33dev

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

AndyLeong33dev

关于 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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

AIOS Monorepo MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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.

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