Cueva Desktop is the native Mac and Windows application for the Cueva Control platform. It is the primary tool for configuring RELO IO8 devices, building and deploying automation flows, managing firmware, and monitoring your installation in real time. It runs entirely on your local network. No cloud account is required to use the application or to deploy flows to devices.
What you can do with Cueva Desktop
- Discover and register Cueva Control devices on your local network
- Configure device settings: network, relay defaults, input polarity, serial port, and more
- Build automation flows using the visual node-based flow editor
- Deploy flows to devices over the local network
- Monitor flow execution and device state in real time
- Update device firmware with one click
- Back up and restore device configurations
- Simulate flow execution without deploying to a device
Supported platforms
| macOS | macOS 12 Monterey or later, Apple Silicon and Intel |
| Windows | Windows 10 (version 1903) or later, 64-bit |
| Architecture (macOS) | Universal binary (Apple Silicon native + Intel) |
| Architecture (Windows) | x64 only |
| Minimum RAM | 4 GB (8 GB recommended) |
| Minimum disk space | 250 MB |
| Network | Local network access required; internet access for Horizon features and updates |
Getting Cueva Desktop
Cueva Desktop is free to download and use. Visit the Downloads page to get the latest version for your platform. No activation or account is required for local device management. A Cueva Horizon account is required only if you want to use remote access or cloud fleet management features.
Cueva Desktop checks for updates automatically on launch. You can also check manually in Help → Check for Updates. Keeping the application up to date ensures you have the latest flow nodes, device compatibility fixes, and performance improvements.
The flow editor
The flow editor is a node-based visual canvas where you connect trigger, condition, and action nodes to build automation logic. Flows are stored locally in Cueva Desktop and deployed to devices on demand. Multiple flows can run concurrently on a single device. The editor includes a real-time activity panel that shows which nodes are executing live on the connected device.