Linkscribe is a modular, AI-integrated interface designed to capture and archive conversational insight using structural logic drawn from the Unified Mathematical Taxonomy (UMT). It routes natural language content into user-defined semantic files, with symbolic recall, memory offloading, and timestamped indexing, all governed by deterministic projection logic rather than unstructured note-taking. This system provides a live, structurally governed environment for thinkers, researchers, and developers working across disciplines who require continuity, clarity, and modular authorship. It is the first software prototype to embody the five pillars of UMT in operational code. This release includes: Fully functional Python prototype Semantic file management with user-defined labels Persistent registry mapping and timestamp tracking Built-in system-layer naming logic (friendly surface names + internal structure) Prepared for future expansion into symbolic recall, token management, and GUI interaction UMT Structural Alignment: Projection Logic Framework: Only routes content when structurally valid Structural Operator Dynamics: Conversation evolves deterministically across sessions Entropy Information Convergence: Memory offloading reduces cognitive drift Subspace Relation Encoding: Files act as relational subspaces Canonical Equilibrium Constraints: System maintains balance passively This project complements the theoretical work:Gougouch, A. (2025). A Unified Mathematical Taxonomy for the Structural Reformulation of Quantum Mechanics.DOI: https://doi.org/10.5281/zenodo.15334619 Author: Abbey GougouchRegistered with Safe Creative: Ref. No. 2505101697824Published under CC BY-NC 4.0