TrajectoryOS Desktop Implementation Proposal

Full HTML reader

Read the full artifact

Extracted abstract or opening context

**Project**: TrajectoryOS Desktop Version **Date**: December 21, 2025 **Author**: Analysis based on comprehensive codebase exploration **Status**: Proposal This document proposes a **native macOS desktop application** for TrajectoryOS, leveraging 80% code reuse from the existing iOS Swift codebase while adding desktop-specific enhancements. The desktop version will maintain the same sophisticated life physics engine, ring memory system, and RAG++ recommendations while offering superior visualization, analytics, and productivity features enabled by larger displays and desktop workflows. **Alternative Options**: Electron/Web-based app or Cross-Platform (Flutter/React Native) TrajectoryOS is an **AI-powered life trajectory optimization platform** that treats personal development as a physics problem. It combines: 1. **Life Physics Model**: Computes an "Escape Index" (η) representing life momentum 2. **Ring Memory System**: Circular context propagation inspired by computational choreography 3. **RAG++ Recommendations**: Evidence-based action suggestions from historical patterns 4. **Advanced Embeddings**: IRCP/TPO/RCP for semantic understanding

Promotion decision

What has to happen next

Keep in the searchable backlog until it intersects a live paper or system.

Why this is not always a full paper yet

Corpus pages are public-safe readers for discovered workspace artifacts. They are not automatically final papers. A corpus item becomes a polished paper only after the editable source, evidence checkpoints, references, figures, render path, and release status are attached through the paper schema.