151 lines
3.7 KiB
Markdown
Executable File
151 lines
3.7 KiB
Markdown
Executable File
# Multipurpose Radio Server (MRS)
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---
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###### By: Zakary Timson
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###### Date: September 2026
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###### Version: 1.0
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---
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> Offline-first radio and connectivity hub for service-denied or isolated environments.
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> Designed for disaster response, long-range tracking, reconnaissance, and resilient communications.
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---
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## Architecture Overview
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MRS is now structured around three modular layers:
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- **MRS (Core Layer)**: Hardware-focused connectivity and reconnaissance
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- **OpenCast (Media/Control Layer)**: Screen casting, control panel, remote desktop
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- **AI-harness (Interface Layer)**: Unified access to AI, knowledge base, and file services
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---
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## Core Services
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### Connectivity
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- **900 MHz / 2.4/5 GHz Mesh WiFi** via B.A.T.M.A.N. routing (1 km+)
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- **LoRa Radio** communication (Meshtastic node, 1-100s of km)
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- **HaLow integration** for long-range WiFi mesh connectivity
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### Hardware Interface
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- **TV/Display connection** via OpenCast for live data visualization
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- **Meshtastic LoRa node** for field operations and tracking
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- **Radio frequency tools** (SDRAngel for spectrum analysis)
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### Reconnaissance & Security
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- WiFi & Bluetooth reconnaissance (Bettercap, nmap, masscan)
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- Red team operations (aircrack, nikto, Metasploit)
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- Radio frequency recon (SDRAngel)
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- ADS-B plane tracking (tar1090)
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### Networking
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- Captive portal with QR code connection
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- Hostapd + dnsmasq integration
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- Local state feed at `localhost:8088/status`
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- MCP server for LLM integration
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---
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## Layered Architecture
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### MRS Core Layer
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MRS runs as the foundational service layer, handling all hardware connectivity and reconnaissance tools. It provides:
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- Mesh WiFi and LoRa backbone
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- Reconnaissance tool orchestration
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- Hardware telemetry and status
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- Local API endpoint for layer communication
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### OpenCast Layer
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OpenCast serves as the control surface and media orchestrator:
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- Screen casting to display hardware
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- Control panel for system navigation
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- Built-in VNC remote desktop access
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- Puppeteer management via API endpoints
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- Runs on port 3000
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### AI-harness Layer
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The harness provides a unified interface to knowledge and intelligence services:
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- Offline AI assistant (Liter + Gemma4-e2b)
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- ZIM archive access (Kiwix)
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- File hosting and management
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- Notes and data management
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- Replaces legacy Ollama/OpenWebUI and FileBrowser
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---
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## Services
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### Screen & Display
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- **OpenCast TV**: Connects display hardware to MRS data streams
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- **Blur/Sticky UI**: Persistent blur effect over idle data feeds
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- **Notification overlay**: System alerts and event notifications
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### Media & Casting
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- **Puppeteer casting**: Web page "casting" to display
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- **Image gallery**: Fallback to random images or local photo selection
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- **Remote desktop**: VNC integration via OpenCast backend
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### Intelligence & Tools
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- **AI Assistant**: Gemma4-e2b-powered offline AI
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- **ZIM Archive**: Kiwix offline knowledge base
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- **Recon Suite**: Network, radio, and hardware scanning tools
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- **File Management**: Harness-integrated file hosting and editing
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---
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## Quick Start
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```bash
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# Clone and install
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git clone https://git.zakscode.com/ztimson/mrs
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cd mrs
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# Install base dependencies
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npm ci
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# Start services
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# - MRS core: defaults to port 8088
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# - OpenCast: defaults to port 3000
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# - AI-harness: defaults to port 3001
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```
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---
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## Documentation
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- [Setup Guide](docs/setup.md)
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- [Mesh Network](docs/mesh.md)
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- [Maps & Geolocation](docs/maps.md)
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- [API Documentation](docs/api.md) - Coming soon
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---
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## Todo
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- [ ] Finalize service separation across layers
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- [ ] Publish API contracts between MRS, OpenCast, and harness
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- [ ] Add telemetry endpoint for remote monitoring
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- [ ] Implement automated OTA update mechanism
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- [ ] Add more recon tools to the core suite
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---
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## License
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This project is licensed under the [MIT License](LICENSE). |