Metadata-Version: 2.4
Name: tgi-foundation
Version: 0.2.0.dev0
Summary: Native character-identity and geometric knowledge mechanisms for Topological Geometric Intelligence
Author: Emylton Leunufna
License: Copyright (c) 2026 Emylton Leunufna
        
        No reuse allowed without permission.
        
Project-URL: Homepage, https://github.com/rfls-emyton/TGI
Project-URL: Source, https://github.com/rfls-emyton/TGI
Keywords: topological geometric intelligence,TGI,NMU,crystal memory
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: license-file

# TGI: Topological Geometric Intelligence

Research implementation by Emylton Leunufna. This repository contains the Python runtime, a minimal reproducible acceptance example and regression tests, and six manuscripts with PDF renderings. NMU retains one static ID per Unicode scalar; the mechanisms are derived from the TGI program.

Python >=3.11. Local check: `python -m unittest discover -s tests -q`. CLI: `python -m tgi --help`. See `paper/technical/README.md` for the foundational and five technical papers. Raw research evidence and historical hypotheses are intentionally outside this public code tree.

Copyright (c) 2026 Emylton Leunufna. No reuse allowed without permission.
