Multi-camera RTSP to WebRTC streaming via go2rtc
Scanned 5/27/2026
Install via CLI
openskills install SharpAI/DeepCamera---
name: go2rtc-cameras
description: "Multi-camera RTSP to WebRTC streaming via go2rtc"
version: 1.0.0
parameters:
- name: streams
label: "RTSP Stream URLs"
type: string
description: "Comma-separated camera_name=rtsp://... entries"
placeholder: "front_door=rtsp://192.168.1.100:554/stream1"
required: true
group: Streams
capabilities:
live_stream:
script: scripts/stream.py
description: "Register RTSP streams with go2rtc for WebRTC playback"
---
# go2rtc Multi-Camera Streaming
Registers RTSP camera streams with SharpAI Aegis's go2rtc sidecar for low-latency WebRTC live view in the browser.
## How It Works
```
Your Cameras (RTSP) go2rtc (in Aegis) Browser
─────────────────── ───────────────── ───────
rtsp://cam1:554/stream ───► /api/webrtc?src=cam1 ───► WebRTC Player
rtsp://cam2:554/stream ───► /api/webrtc?src=cam2 ───► WebRTC Player
rtsp://cam3:554/stream ───► /api/webrtc?src=cam3 ───► WebRTC Player
```
## Supported Sources
go2rtc accepts any stream source:
- `rtsp://` — standard RTSP cameras
- `rtmp://` — RTMP streams
- `http://` — MJPEG or HLS streams
- `ffmpeg:` — FFmpeg pipeline
- `exec:` — custom command
## Protocol
### Skill → Aegis (stdout)
```jsonl
{"event": "ready", "streams": 3}
{"event": "live_stream", "camera_id": "front_door", "camera_name": "Front Door", "url": "rtsp://192.168.1.100:554/stream1"}
{"event": "live_stream", "camera_id": "backyard", "camera_name": "Backyard", "url": "rtsp://192.168.1.101:554/stream1"}
```
Aegis registers each stream with go2rtc via IPC:
- `go2rtc:add-stream` → registers camera
- `go2rtc:connection-info` → returns WebRTC URL for player
## Setup
```bash
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
```
No comments yet. Be the first to comment!
Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.