The ioquake3 community effort to continue supporting/developing id's Quake III Arena
The Dæmon game engine. With some bits of ioq3 and XreaL.
Spearmint — an updated id Tech 3 engine for continuing the classics and creating new games.
Mirror of https://gitlab.com/xonotic/darkplaces - The Quake engine that powers Xonotic https://xonotic.org
Open source game engine version developed by Croteam for Serious Sam Classic (Windows, Linux, FreeBSD, OpenBSD, NetBSD, macOS, Raspberry Pi OS). Based on https://github.com/Croteam-official/Serious-Engine and linux port https://github.com/icculus/Serious-Engine
Open source game engine version developed by Croteam for Serious Sam Classic with Vulkan support (Windows, Linux, FreeBSD, OpenBSD, macOS, Raspberry Pi OS). Based on https://github.com/sultim-t/Serious-Engine-Vk and linux port https://github.com/icculus/Serious-Engine
A port to the OpenPandora (and working fine on plain Linux) of the open source version of a game engine developed by Croteam for the classic Serious Sam games. Status: Working (for both FE and SE).
A fully customizable first person/third person controller for Unity. This includes a customizable 3D player model as well as fully integrated animations.
reimplementation of the 1994 FPS Nitemare 3D
World of PADMAN engine and game code (discontinued)
Serious Sam Alpha Remake open source project based on https://github.com/Croteam-official/Serious-Engine and linux port https://github.com/icculus/Serious-Engine. Zdzichu official repo: https://github.com/GrlPwr-Zdzichu/SeriousSamAlphaRemake-Legacy
Tools for Star Wars: Dark Forces assets.
Multiplayer FPS Engine in Java
HevEn is a small FPS/TPS game engine (for test purposes)
An open-source project focused on creating the best lightweight yet feature-rich non-Rigidbody first person shooter character controller for Unity3D.
Java Raycasting Game Engine
The Godot FPS framework we made.
This is open source project based on https://github.com/Croteam-official/Serious-Engine and linux port https://github.com/icculus/Serious-Engine
we propose a new framework for training vision-based agent for First-Person Shooter (FPS) Game, in particular Doom. Our model is simple in design and only uses game states from the AI side, rather than using opponents information.
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