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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

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.

icsdrone acts as an interface between an ICS (Internet Chess Server) and a chess engine supporting the XBoard/WinBoard protocol. Unlike XBoard/WinBoard it does not use a graphical interface so it is suitable for use on embedded systems. icsdrone was originally developed for FICS (the Free Internet Chess Server) by Henrik Gram but currently ICC (the Internet Chess Club) works as well. Some features - "Daemon mode" (run in background). - Auto reconnection in...

XBoard compatible chess engine for Linux

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.

Hanzo the Razor Chess Engine

Witz is a chess program that is designed to work with a Winboard interface.

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.

Manado Chess - XBoard and UCI compatible chess engine

Small potato is a IETF protocol version 2 compliant chess engine, to be used with XBoard/WinBoard style interfaces.

Slibo is a chess interface and a chess engine for KDE.

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.)