> WiVRn wirelessly connects a standalone VR headset to a Linux computer. You can then play PCVR games on the headset while processing is done on the computer.
WiVRn is based on [Monado](/docs/fossvr/monado/) and can be used with [OpenComposite](/docs/fossvr/opencomposite/) to support a majority of titles available for SteamVR. A wide range of standalone headsets are supported.
We recommend using [Envision](/docs/fossvr/envision/) to install and launch WiVRn & OpenComposite. Envision will handle all configuration seamlessly and avoids many of the pitfalls of a manual setup.
Alternatively, you can use the [WiVRn Flatpak](https://flathub.org/apps/io.github.wivrn.wivrn) which includes OpenComposite as part of it. Processes in flatpak cannot take advantage of setcap, and so your performance may suffer when compared to Envision.
If using Nvidia proprietary drivers, have [Monado Vulkan Layers](https://gitlab.freedesktop.org/monado/utilities/vulkan-layers) installed, otherwise games will crash with a segmentation fault.
For audio in WiVRn, you will need to assign applications, or the system as a whole, to output audio to the virtual output "WiVRn" which is created upon connection between the server and the headset.
Discovery happens only on first connection, so be sure to **have all lighthouse devices powered on and in line of sight of base stations before connecting the headset!**
Once a device is discovered, it may be powered off and then back on later.
- Spread the devices out more; lighthouse devices get discovered quicker if they're not piled up on each other. Simply strapping them on is good, too.
- Increase `LH_DISCOVER_WAIT_MS`, though this delays the client on first connection.
To re-discover devices, restart WiVRn server.
At this point, your lighthouse devices will be randomly floating about somewhere. To calibrate them, follow the guide in the [Motoc README](https://github.com/galister/motoc/blob/main/README.md).
This section covers using WiVRn with SlimeVR trackers (not via OSC). Tracking fidelity is reported to be similar to what's achievable with the SteamVR-native solution.