#Automated Release of iChess.io v2025.10.30-143735

🧠 iChess.io — First Public Release 🎉

Welcome to the very first release of iChess.io, an AI-powered, multi-architecture chess engine and platform that merges classic chess, Fischer Random (Chess960), and deep-learning techniques into one open system.

🧩 Highlights

• Multi-Architecture Builds
  • Pre-compiled binaries for Ubuntu (x86_64, ARM64) and macOS (x86_64, ARM64).
  • Built automatically via GitHub Actions using CMake and OpenCL support.
• Integrated LibChess Engine
  • Updated with full Chess960 (Fischer Random) support and validated castling logic.
  • Shared library now available as libchess.so / libchess.dylib.
• Darknet-Based Neural Backend
  • Custom-trained evaluation model for fast board scoring.
  • Configurable via chess.cfg, chessp.cfg and associated weight files.
• iChess.io Mode
  • Supports both Classic Chess and Fischer Random with move validation, voice interaction, and asynchronous web UI.
• Automated CI/CD
  • Continuous integration builds for four platforms.
  • Automatic tagging, artifact packaging, and draft release creation via GitHub Actions.

⚙️ Artifacts

🧪 How to Run

# Example on Linux:
tar xzf iChess.io.en.ubuntu.x86_64.tar.gz
cd release
./iChess.io.en.ubuntu.x86_64

🧭 Next Steps

• Add more parameters over UCI engine configuration to make it not only ~1s per move!
• Add automatic publish option for stable tags (v12.*) was consider but CI/CD is on!
• Integrate NNUE evaluation model was dropt as too CPU oriented... Any oter ideas ???
• Public Release on the 3D board version, at https://3d.iChess.io.

p ;).