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GitHub - Audazia/solar-system-agents: Cyberpunk Mission C...
carlosaudaz · 2026-04-27 · via Hacker News: Show HN

The AI agent dashboard your team actually wants to look at.

A cyberpunk command center for monitoring AI agent fleets in real-time. Two views: an orbital solar system visualization and a full mission control dashboard. Works with any agent framework.

Zero dependencies. Static HTML files. No build step. No npm install.

Deploy with Vercel   Deploy to Netlify


Mission Control + Solar System — AI Agent Dashboard

Mission Control — real-time agent monitoring with cyberpunk UI.

Solar System — Orbital Agent Visualization

Solar System — your agents orbiting in real-time.


What You Get

Mission Control (mission-control.html)

A full-featured dashboard with:

  • Agent Roster — live status, model, skills, and channel tags for every agent
  • Scheduled Missions — cron job monitoring with OK/ERR status
  • System Vitals — RAM gauge, uptime, platform info with Chart.js graphs
  • KPI Streams — revenue, API usage, or any metrics you track
  • Channels & Providers — Slack, Telegram, WhatsApp, API status at a glance
  • Live ticker — scrolling status bar across the bottom
  • Particle network background — tsParticles with interactive hover effects
  • Scanline overlay — CRT retro feel
  • Demo mode — works out of the box with realistic sample data

Solar System (index.html)

An orbital visualization where:

  • The Sun is your core system / gateway
  • Each planet is an AI agent (size = importance, speed = activity)
  • Moons are sub-agents or tools
  • Rings (Saturn-style) indicate agents with cron jobs
  • Click any planet for detailed stats

Deploy in 30 Seconds

Deploy with Vercel Deploy to Netlify

Or run locally:

git clone https://github.com/Audazia/solar-system-agents.git
cd solar-system-agents
open mission-control.html

That's it. The dashboard loads with demo data showing 12 agents, 11 cron jobs, 4 channels, and 4 model providers. Everything renders at 60fps.

Configure Your Agents

Edit config.js to set up your own fleet:

const CONFIG = {
  brand: {
    name: 'MY COMPANY',
    subtitle: 'MISSION CONTROL',
    centerTitle: 'AI OPERATIONS HQ',
  },

  agents: [
    {
      id: 'researcher',
      name: 'RESEARCHER',
      model: 'claude-sonnet-4-6',
      role: 'Deep research & analysis',
      tier: 'command',       // 'command' | 'operations' | 'support'
      premium: true,         // highlighted card
      skills: 8,
      channels: ['API', 'SLACK'],
      status: 'active',      // 'active' | 'idle' | 'error' | 'dormant'
    },
    // ... add more agents
  ],

  crons: [
    { agent: 'RESEARCHER', name: 'Daily Report', schedule: '06:00', status: 'ok' },
  ],

  channels: [
    { name: 'Slack', icon: '\u2709', status: 'online', detail: '4 CHANNELS' },
  ],

  providers: [
    { name: 'Anthropic', detail: 'claude-sonnet-4-6', status: 'active', label: 'PRIMARY' },
  ],
};

See config.js for the full configuration reference with all available options.

Connect Live Data

Option 1: API Polling (built-in)

Set your gateway URL in config.js:

gateway: {
  url: 'http://localhost:8080',
  healthEndpoint: '/health',
  statusEndpoint: '/api/status',
  refreshInterval: 15000,
},

The dashboard polls your API every 15 seconds and updates agent status dots and last messages.

Option 2: Direct JavaScript

Update agent data from your own API:

async function syncAgents() {
  const data = await fetch('/api/agents').then(r => r.json());
  data.forEach(agent => {
    const dot = document.getElementById('dot-' + agent.id);
    if (dot) dot.className = 'status-dot ' + (agent.active ? 'green' : 'yellow');
  });
}
setInterval(syncAgents, 10000);

Option 3: WebSocket (real-time)

const ws = new WebSocket('ws://localhost:8080/agents');
ws.onmessage = (e) => {
  const update = JSON.parse(e.data);
  const dot = document.getElementById('dot-' + update.id);
  if (dot) dot.className = 'status-dot ' + update.statusClass;
};

Works With Any Framework

  • CrewAI / LangChain / LangGraph
  • AutoGPT / BabyAGI
  • OpenAI Assistants API
  • Semantic Kernel
  • Custom REST/WebSocket agents
  • OpenClaw (built with this)

Use Cases

Who What
AI Startups Monitor production agent fleet
Dev Teams Visualize CI/CD bots, code review agents
Sales Teams Track outreach agents, lead gen bots
Content Teams Monitor social media agents, content generators
Security Watch threat detection agents, compliance monitors
Solo Builders Your personal AI assistant ecosystem

Hosting

Method Cost Setup Time
Open index.html locally Free 10 seconds
GitHub Pages Free 2 minutes
Vercel (button above) Free 30 seconds
Netlify (button above) Free 30 seconds
Any static host Free-$5/mo 5 minutes

Roadmap

  • Solar System orbital visualization
  • Mission Control dashboard
  • Configurable agents, crons, channels, providers
  • Demo mode (works without config)
  • Live data polling via API
  • Mobile responsive layout
  • Framework adapters (CrewAI, LangChain, AutoGPT)
  • Agent-to-agent communication lines
  • Asteroid belt for queued tasks
  • Comet events for alerts/incidents
  • Custom themes (dark/light/custom)
  • Docker image with built-in API server
  • SaaS hosted version with auth + team features
  • Agent marketplace & templates
  • Webhooks & notification integrations

Contributing

PRs welcome. The codebase is intentionally simple — static HTML with inline CSS and JS. No build tools. Keep it that way.

# Fork, clone, edit, open in browser to test

License

MIT License. Use it however you want.


Built by AUDAZ.IA — We build AI agent infrastructure.

If this helps you, star the repo. It helps others find it.