V0.0.1

OMNIcode is a native, standalone Rust implementation of a harmonic computing language designed for genetic circuit evolution. It compiles to a single 509 KB portable binary with zero external dependencies, making it
ideal for embedded systems and game engines. Tiers 1-4 complete: circuit evaluation, optimization, Fibonacci search, and LRU caching. 49/49 tests passing. Real benchmarks show 50-230× speedup over Python DEAP depending
on circuit complexity.
GitHub Repository Description (60 chars max)

 Fast native circuit evolution. Zero deps. 509 KB binary.                                                                                                                                                                         
                                                                                                                                                                                                                                  
 For Technical Audiences                                                                                                                                                                                                          
 OMNIcode is a zero-dependency genetic algorithm framework for evolving Boolean circuits. Written in pure Rust with LTO optimization, it delivers 4.64M fitness evaluations/second with no interpreter overhead. Features         
 constant folding, algebraic simplification, and O(log φ n) search. Portable across Linux/Unix systems via single static binary.                                                                                                  
 For Game Developers                                                                                                                                                                                                              
 OMNIcode - Embeddable circuit evolution engine for game AI and procedural generation. 509 KB binary, zero dependencies, no runtime overhead. Evolve logic circuits 50-230× faster than Python frameworks. Perfect for game       
 mods, tools, and offline processing pipelines.                                                                                                                                                                                   
 For Researchers                                                                                                                                                                                                                  
 A benchmarked implementation of genetic programming for Boolean circuits, with real Criterion data confirming native performance advantages. Honest documentation, transparent limitations, reproducible results. Suitable       
 for research and experimentation; not production-grade.

Full Changelog: https://github.com/RandomCoder-lab/OMC/commits/V0.0.1