Welcome to BlackRoad OS
The sovereign computing platform designed for AI collaboration and human flourishing. Build the future with quantum intelligence, distributed systems, and autonomous agents.
5-Minute Start
Get up and running with BlackRoad in less than 5 minutes
Learn Core Concepts
Understand the architecture and philosophy behind BlackRoad
Build Something
Follow tutorials to build your first AI-powered app
Introduction
BlackRoad OS is a revolutionary operating system designed for the age of AI collaboration. It provides a sovereign computing platform where humans and AI can work together seamlessly.
Why BlackRoad?
- AI-Native: Built from the ground up for AI collaboration, not as an afterthought
- Quantum-Ready: Integrated quantum computing capabilities for next-generation applications
- Truly Distributed: Runs anywhere - cloud, edge, or your local machine
- Zero Cost: Open source and designed to run on free infrastructure
- Privacy-First: Your data stays yours. No tracking, no surveillance
Installation
BlackRoad can be installed in multiple ways depending on your use case:
Via npm (Recommended)
# Install BlackRoad CLI globally npm install -g @blackroad/cli # Verify installation blackroad --version # Initialize a new project blackroad init my-project cd my-project # Start development server blackroad dev
Via Docker
# Pull the latest BlackRoad image docker pull blackroad/os:latest # Run BlackRoad container docker run -d -p 8080:8080 \ --name blackroad \ -v $(pwd):/workspace \ blackroad/os:latest # Access the shell docker exec -it blackroad /bin/bash
Quick Start
Let's build your first AI-powered application with BlackRoad:
1. Create a New Project
blackroad create hello-ai --template=ai-starter cd hello-ai
2. Configure Your AI Agent
import { Agent } from '@blackroad/ai'; const agent = new Agent({ name: 'assistant', model: 'lucidia-qi-v1', capabilities: ['reasoning', 'code-generation'], temperature: 0.7 }); // Agent is now ready to use const response = await agent.ask('Explain quantum entanglement'); console.log(response);
3. Run Your Application
# Start in development mode blackroad dev # Build for production blackroad build # Deploy to Cloudflare blackroad deploy
Architecture Overview
BlackRoad is built on three core pillars:
1. AI Collaboration Layer
The foundation of BlackRoad is seamless human-AI collaboration:
- Lucidia QI: Our quantum-enhanced AI framework
- Agent Mesh: Distributed agent communication
- Memory System: Persistent context across sessions
- Tool Ecosystem: Extensible agent capabilities
2. Quantum Computing Engine
Native quantum computing support for next-generation applications:
- Circuit Builder: Visual quantum circuit design
- Simulator: Classical simulation for development
- Hardware Bridge: Connect to real quantum computers
- Hybrid Algorithms: Classical + quantum workflows
3. Distributed Infrastructure
Run anywhere, scale everywhere:
- Edge Runtime: Deploy to Cloudflare Workers
- Container Support: Docker & Kubernetes ready
- P2P Networking: Decentralized communication
- Zero-Config Deployment: Ship with one command
AI Collaboration
BlackRoad treats AI agents as first-class citizens. Here's how to build collaborative AI systems:
Creating Specialized Agents
import { Agent, Tool } from '@blackroad/ai'; // Define custom tools for your agent const codeAnalyzer: Tool = { name: 'analyze_code', description: 'Analyze code for bugs and improvements', parameters: { code: 'string', language: 'string' }, execute: async ({ code, language }) => { // Your analysis logic return { bugs: [], suggestions: [] }; } }; // Create specialized agent const codeReviewer = new Agent({ name: 'code-reviewer', model: 'lucidia-qi-v1', tools: [codeAnalyzer], systemPrompt: 'You are an expert code reviewer...' });
Agent Orchestration
Coordinate multiple agents to solve complex problems:
import { Orchestrator } from '@blackroad/ai'; const orchestra = new Orchestrator({ agents: { researcher: new Agent({ ... }), coder: new Agent({ ... }), reviewer: new Agent({ ... }) }, workflow: 'sequential' // or 'parallel' }); // Execute coordinated task const result = await orchestra.execute({ task: 'Build a new feature', context: { ... } });