広告掲載
MCP.so
ログイン

AIOS Monorepo MCP Server

@AndyLeong33dev

リポジトリ

基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

AndyLeong33dev

AIOS Monorepo MCP Server 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

AIOS Monorepo MCP Server の設定

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"
      ]
    }
  }
}

AIOS Monorepo MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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

よくある質問

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.

コメント

「開発者ツール」の他のコンテンツ

SSH MCP Server

hypnosis

SSH MCP server for AI agents: remote commands, file transfer, log search and server audits through OpenSSH.

1

Meticulous

Meticulous

BetterBugs

BetterBugs

The BetterBugs MCP (Model Context Protocol) enables you to load BetterBugs bug reports (via report links) directly to your preferred AI Agents and developer environments with MCP Client capabilities (such as Cursor, VS C

MilliGate (x402 Crypto Paywall)

MilliGate Core

MilliGate is a developer-first remote MCP server that functions as a secure crypto paywall. By leveraging the HTTP 402 (Payment Required) protocol, it allows developers to monetize AI agents, APIs, and digital infrastruc

Capgo MCP

Cap-go

Console, Backend and CLI to manage Capgo Instant update and Native build for Capacitor apps Build and upload to app store your mobile app

広告掲載