moonlight-embedded/README.md
2015-08-03 14:35:57 +02:00

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# Moonlight Embedded
Moonlight Embedded is an open source implementation of NVIDIA's GameStream, as used by the NVIDIA Shield, but built for Linux.
Moonlight Embedded allows you to stream your full collection of Steam games from
your powerful Windows desktop to your (embedded) Linux system, like Raspberry Pi, CuBox-i and Hummingboard.
## Documentation
More information about installing and runnning Moonlight Embedded is available on the [wiki](https://github.com/irtimmer/moonlight-embedded/wiki).
## Features
* Streams Steam and all of your games from your PC to your embedded system.
* Use mDNS to scan for compatible GeForce Experience (GFE) machines on the network.
* Qwerty Keyboard, Mouse and Gamepad support
* Support hardware video decoding on Raspberry Pi and i.MX 6 devices
## Requirements
* [GFE compatible](http://shield.nvidia.com/play-pc-games/) computer with GTX 600/700/900 series GPU (for the PC you're streaming from)
* High-end wireless router (802.11n dual-band recommended) or wired network
* Geforce Experience 2.1.1 or higher
## Quick Start
* Ensure your GFE server and client are on the same network
* Turn on Shield Streaming in the GFE settings
* Pair Moonlight Embedded with the GFE server
* Accept the pairing confirmation on your PC
* Connect to the GFE Server with Moonlight Embedded
* Play games!
## Bugs
Bugs can be reported to the [issue tracker](https://github.com/irtimmer/moonlight-embedded/issues).
## See also
[Moonlight-common-c](https://github.com/moonlight-stream/moonlight-common-c) is the shared codebase between
different C implementations of Moonlight
[Moonlight-common-c](https://github.com/irtimmer/moonlight-common-c) is the fork used by Moonlight Embedded
## Discussion
[XDA](http://forum.xda-developers.com/showthread.php?t=2505510)
[Raspberry Pi Forum](http://www.raspberrypi.org/forums/viewtopic.php?f=78&t=65878)
[SolidRun Community](http://www.solid-run.com/community/viewtopic.php?f=13&t=1489&p=11173)
## Contribute
1. Fork us
2. Write code
3. Send Pull Requests