AI-powered camera monitoring application with relay-node architecture and real-time video processing.
- Vision Language Model: Qwen3-VL for frame analysis and summarization
- Chat Interface: Natural language interaction with your camera feeds
- Video Search: Search through recorded frames using natural language
The node runs locally and connects to the relay:
Download the prebuilt unblink-node archive for your platform from GitHub Releases:
- Linux x86_64:
unblink-node_linux_amd64.tar.gz - Linux ARM64:
unblink-node_linux_arm64.tar.gz - Windows x86_64:
unblink-node_windows_amd64.zip - Windows ARM64:
unblink-node_windows_arm64.zip
Extract the archive and run:
unblink-nodeOn Windows, run:
.\unblink-node.exeInstall from source:
go install github.com/zapdos-labs/unblink/cmd/unblink-node@main
# Make sure you have Go’s bin dir on PATH
unblink-node
# Or you can run
# $(go env GOPATH)/bin/unblink-nodeUninstall:
rm -f "$(go env GOBIN)/unblink-node"
# if GOBIN is empty, use:
rm -f "$(go env GOPATH)/bin/unblink-node"On first run, authorize the node by opening the displayed URL in your browser.
# Install dependencies
make install
# Run development environment (tmux with server + node + app)
make dev
# Typecheck code
make typecheck
# Generate protobuf code
make protoCopy .env.example to .env and configure:
cp .env.example .env- Server: Publicly reachable server that manages nodes, handles authentication, and stores configuration
- Node: Private proxy that runs in your network and forwards traffic to local cameras (RTSP, MJPEG)
- Frontend: SolidJS with TypeScript, Vite, and Ark UI components
- Database: PostgreSQL with pgx
- Video: go2rtc for RTSP/WebRTC handling