LambdaHack-0.2.10: A roguelike game engine in early and active development

This is an alpha release of LambdaHack, a game engine library for roguelike games of arbitrary theme, size and complexity, packaged together with a small example dungeon crawler. When completed, the engine will let you specify content to be procedurally generated, define the AI behaviour on top of the generic content-independent rules and compile a ready-to-play game binary, using either the supplied or a custom-made main loop. Several frontends are available (GTK is the default) and many other generic engine components are easily overridden, but the fundamental source of flexibility lies in the strict and type-safe separation of code and content and of clients (human and AI-controlled) and server.

New in this release are screensaver game modes (AI vs AI), improved AI (can now climbs stairs, etc.), multiple, multi-floor staircases, multiple savefiles, configurable framerate and combat animations and more. Upcoming features: new and improved frontends, improved AI (pathfinding, autoexplore, better ranged combat), dynamic light sources, explosions, player action undo/redo, completely redesigned UI. Long term goals are focused on procedural content generation and include in-game content creation, auto-balancing and persistent content modification based on player behaviour.

A larger game that depends on the LambdaHack library is Allure of the Stars, available from http://hackage.haskell.org/package/Allure.

Note: All modules in this library are kept visible, to let games override and reuse them. OTOH, to reflect that some modules are implementation details relative to others, the source code adheres to the following convention. If a module has the same name as a directory, the module is the exclusive interface to the directory. No references to the modules in the directory are allowed except from the interface module. This policy is only binding inside the library --- users are free to do whatever they please, since the library authors are in no position to guess their particular needs.