Manhattan Kernel

Manhattan Kernel is a small solo research project. It is a deterministic runtime that works together with a language model. The model can give suggestions, but it does not run code or decide if its own results are correct. Every important change is checked by the compiler and by the structure system before it can be used. I strted this project because AI agents are becoming more capable and they get more access to tools and files. I think we need more reliable ways to check what they do instead of simply trusting every output. At the moment there is a working Rust prototype with a task system, Kernel Structure Graph (KSG), deterministic fingerprints and a system that tries local solutionsz before asking the language model. With this grant I want to finish the schema composition part, add more repair methods, connect a real language model and compare the results with normal LLM-based workflows. I also want to test it on CPU-only hardware to keep it simple and accessible. I work on this project alone. There is no team, company or co-founder behind it. I use AI mainly for coding help and sometimes because English is not my first language, but the technical decisions and direction are made by me. My background is in security work, and I have been seriously learning software development since 2020. The result will be a working schema search engine, performance tests, and public documentation where others can see how it works and try it themselves.

https://github.com/lipcsiklaszlo5-lgtm/DrManhattan-Project