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A Chien2D é voltada ao desenvolvimento de jogos 2D em C/C++, utilizada pelo autor em cursos de programação de jogos. A biblioteca é multiplataforma, rodando em Windows, Linux e Mac OS X.
The RockMUD project is a new MUD codebase written in C and Lua. The goal of RockMUD is to create a stable C MUD engine that can be easily expanded and customized using the Lua scripting language. RockMUD is based off of SocketMUD by Brian Graverson.
Lunar aims to be a cross-platform engine geared towards developing two-dimensional video games. In addition to Lua-based scripting, planned features include support for interchangeable graphics, image and audio libraries, and a fully-featured editor.
A generic game entity manager written in C++ with Lua bindings. In early stages atm. Game Entity System - Currently Seeking Additional Project Members.
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Framework and set of object-oriented and/or generic libraries designed for games and virtual reality simulations. Abstracts interfaces of APIs and provides additional general and high-level functionality for rapidly creating solid applications.
Zen Worlds is an object oriented C++ virtual worlds / MMO game engine framework. This project includes Zen Engine game engine client, Zen Enterprise, an Enterprise Service Bus, and a C++ Application Server, and Zen Studio, a game development IDE.
Eye of God (EOG) is a generic component based framework for application development in particular videogames.
It provides a way to build game engines in a structured and robust manner.
A generic C++ MUD server featuring a strategy-style hexagon map
Sourceforge is no longer being updated! While not specifically a MUD project, this project's basic concept has merged into another that can be found here:
https://github.com/nicrohobak/Toolbox
Along with an additional, related project of extreme interest:
https://github.com/nicrohobak/AnsiGL
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HexMUD aims to be a fully-featured, game-system agnostic MUD server with a centrally focused feature of an added top-down...
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.