AIOS V2 — Autonomous Intelligent Operating System

An AI-powered operating system platform built on OpenClaw, designed for enterprise agent orchestration and intelligent automation.

Overview

AIOS V2 is a strategic agent execution platform that integrates modular AI skills, enterprise automation capabilities, and intelligent model routing. Built by Shavoni (DEF1LIVE LLC / HAAIS).

Architecture

• Agent: Scotty-5 — AI operator for strategic execution
• Framework: OpenClaw (agent orchestration)
• Skills: 11 modular capabilities (DevOps, S3, business automation, deep research, etc.)
• Model Routing: OpenAI, Anthropic, Gemini, Kimi, local LLMs (Ollama, LM Studio)

Quick Start

# Install dependencies
npm install

# Copy environment config
cp .env.example .env
# Edit .env with your API keys

# Start the server
npm start

# Development mode (auto-reload)
npm run dev

# Run tests
npm test

Project Structure

aios-v2/
├── server.js              # Express API entry point
├── src/                   # Application source (in development)
├── tests/                 # Test suite
├── skills/                # OpenClaw skill modules
├── memory/                # Agent memory & context
├── SOUL.md                # Agent identity & behavior
├── IDENTITY.md            # Agent metadata
├── USER.md                # Owner profile
├── TOOLS.md               # Environment-specific tool notes
├── PROJECT_PLAN.md        # Development roadmap
└── .openclaw/             # OpenClaw workspace state

Skills

Skill	Purpose
afrexai-business-automation	AI-powered business workflows
deepwiki	Documentation research via deep research API
gog	Game/content integration
project-context-sync	Auto-sync project state after git commits
railway-skill	Deploy/manage apps on Railway.app
s3	S3-compatible object storage
sec-filing-watcher	Monitor SEC EDGAR filings
slack	Slack integration
tailscale	Tailscale VPN management

Tech Stack

• Runtime: Node.js 18+
• Server: Express
• Frontend: React / TypeScript / Tailwind CSS (planned)
• Backend: Supabase (Postgres + Auth + Storage)
• Local AI: RTX 5090, 128GB RAM — Ollama, LM Studio
• Cloud AI: OpenAI, Anthropic, Hugging Face

Development Status

Phase: Architecture & Research (pre-MVP). See PROJECT_PLAN.md for the full roadmap.

License

MIT License — see LICENSE for details.