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Шахматный движок и графическая оболочка под Windows 64 (запуск - start.cmd), под Linux запускать под xboard. Исходники на Си прилагаются. The chess engine and graphical shell run on Windows 64, and on Linux run on xboard. The C sources are attached.
OliveChess is a simple chess engine compatible with modern chess interfaces such as ChessBase products, Arena and XBoard/Winboard.
The engine supports UCI and XBoard protocols.
Note: in order to use it as an xboard engine you may need Polyglot tool to be installed first
A console/ncurses chess engine frontend and PGN editor.
CBoard (Curses/Console Board) is an Ncurses frontend to chess engines supporting the XBoard protocol. Supports reading and writing PGN including roster tags, RAV, FEN, NAG and comments, lots of configuration options, UTF-8, different board sizes depending on the terminal and more.
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IMPORTANT: I renamed the project to cengix (chess engine no. x). See http://code.google.com/p/cengix.
IMPORTANT: yacen is not in any way related to the YACE chess engine. The similar name was a mistake. To avoid confusion, I will rename my project soon and provide a link to the new site then.
yacen is a simple chess engine with main focus on understandability of code and mechanisms rather than on pure performance.
It is completely written in ANSI-C using nothing more than the standard...
Small project chess engine/AI written in C designed to work with XBoard. This is a summer project by an undergraduate computer science student, not a work of art. The code is rough and not fully functional.
An open source chess engine in C, released under the GPL. Compatible with the XBoard and UCI interface protocols to link to a GUI or other chess arbiter.
Neophyte is a Winboard and UCI compatible chess engine designed to play with a human style. Strong play comes second to the goal of playing like a human.
CINAG is an UCI computer chess engine. This is a module which thinks about the game and try to find the best move for each position. Our goal is to create a quite strong opponent by using state of the art AI technics.
SMART: SMART Minimax Analyser for Recursive Trees. The goal of the SMART project is to develop a powerful state-of-the art FICS compliant chess engine, using experimental technology (re-iterative MTDf , ETC, reinforced temporal difference learning, etc.)