- 16 bit moves
- staged movegen
- nnue tryharding
- tt buckets
- lazy updates
- bestmove stability tm
- TBs
- capt hist
- Probcut
- Delta pruning
- all the SE stuff that SF does
- hist pruning
$ git clone https://github.com/PGG106/Alexandria
$ cd alexandria
$ make
$ ./AlexandriaThe Universal Chess Interface (UCI) is a standard protocol used to communicate with a chess engine, and is the recommended way to do so for typical graphical user interfaces (GUI) or chess tools. Alexandria implements the majority of its options as described in the UCI protocol.
Alexandria's improvement is a time consuming effort and any help is extremely appreciated. If you like the project and what to help it out the following are the preferred ways to do so, please read the next section very carefully.
If you want to donate hardware that will go towards testing patches for the engine, you can donate your hardware resources by getting a client file for OpenBench and creating a profile on alexandria's OB instance here.
Alexandria is open to external PRs and code contributions are highly encouraged and appreciated, just abide by a few rules:
- before starting to work on a PR that fixes an issue with the engine open an issue in the repository first, from that we'll be able to discuss on who will handle the issue and what is the best way to proceed in fixing it.
- Please make sure your idea makes sense from a chess engine development point of view, no single position analysis nor bizarre chess theories that only apply to humans.
- If possible ensure your change passes a SPRT before making the PR, if not create a test on alexandria's OB instance and i'll judge whether i can spare the resources to run it.
This project would not have been possible without the following people
- BluefeverSoftware for his Vice chess engine from which i learnt the basic structure and functionality of a chess engine
- CodeMonkeyKing for his bbc chess engine from which i learnt how bitboards work and several refined search techniques
- The whole Stockfish Discord server and Disservin in particular for the sharing of code and the avaliability in answering questions
- A giant thanks to Luecx that helped me immensely in the process of setting up the NNUE and gave me some training data generated by Koivisto
- Luecx (again) and Jay Honnold for the wonderlud CudAD trainer that was used to train the NNUE https://github.com/Luecx/CudAD
- Andrew Grant for the OpenBench platform https://github.com/AndyGrant/OpenBench
- Morgan Houppin, author of Stash for his "option" code https://github.com/mhouppin/stash-bot