mirror of
https://github.com/myronblair/jarvis
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- Voice: say show network map / network topology / show connections to open - Voice: say close map / dismiss / close network to close - Same commands work in chat text input - Explode animation: overlay expands from top-left reactor position with clip-path wipe - Collapse animation: folds back to reactor on close - Visualization: live node graph with bezier curved edges, hub (JARVIS) at center - Inner ring: all registered agents (agents color-coded by type: proxmox=green, HA=gold, etc) - Outer ring: netscan-discovered devices - Rotating orbit rings on hub and agent nodes - Pulsing radial glow per node keyed to online status - Hub cross-hair targeting lines - Directional particle flow: - CYAN particles: data/heartbeats flowing FROM agents TO JARVIS hub - ORANGE particles: commands flowing FROM JARVIS hub TO agents - All particles travel curved bezier paths, fade at endpoints, glow with shadows - Mouse hover: node info card shows name/IP/status/type - Stats bar: total nodes, online count, agent count - Background: faint hex grid overlay for sci-fi depth
JARVIS
Iron Man-style AI assistant for home and network management.
Features
- Home Assistant control (lights, climate, scenes, switches)
- Proxmox VM management (start/stop/status)
- 4-tier chat: KB intents > Groq cloud > Ollama local > Claude API
- Real-time status bar (HA, Proxmox, DigitalOcean)
- Iron Man HUD at jarvis.orbishosting.com
Stack
- PHP 8.x / Apache / MySQL on Ubuntu 24.04
- Ollama VM at 10.48.200.95 (llama3.2:1b)
- Groq API (llama-3.3-70b / compound-mini with web search)
- Claude API (Anthropic) final fallback
Setup
cp api/config.example.php api/config.php Fill in all credentials in config.php before running.
Key Files
- public/index.html Iron Man HUD frontend
- public/api.php API router
- api/config.example.php Config template
- api/endpoints/chat.php 4-tier chat handler
- api/endpoints/facts_collector.php HA entity sync cron
- api/lib/kb_engine.php KB intent engine
- api/lib/db.php PDO database wrapper
Description
Languages
PHP
43.3%
Python
29.9%
JavaScript
14.9%
CSS
6.2%
Shell
2.2%
Other
3.5%