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Continuum Documentation

Organized by theme — each chapter is a self-contained concern.

Structure

docs/
├── CONTINUUM-ARCHITECTURE.md     # Top-level system architecture
├── CONTINUUM-VISION.md           # Vision and philosophy
├── UNIVERSAL-SENSORY-ARCHITECTURE.md  # Any media in/out for ANY AI
├── QUEUE-DRIVEN-COGNITION.md     # RAG composition: queue items declare context needs
├── UNIVERSAL-LEARNING-ARCHITECTURE.md  # Training, memory, and beyond-LLM learning
├── CONFIGURATION.md              # Setup and configuration
│
├── positron/          # UI framework, widgets, state, Positronic embodiment
├── activities/        # Activities, rooms, recipes, walls, collaboration
├── personas/          # Persona cognition, identity, memory, coordination
├── genome/            # LoRA, training, fine-tuning, inference, mesh distribution
├── sentinel/          # Pipeline engine, coding AI
├── grid/              # P2P mesh, Grid economics, Reticulum
├── live/              # Voice, video, WebRTC, VAD, captions, media
├── governance/        # AI governance, democratic society, ethics, alignment
├── infrastructure/    # Rust workers, daemons, data, commands, events, logging, GPU
├── planning/          # Roadmaps, audits, status, phases, debt, business model
├── papers/            # Research papers
├── testing/           # Test documentation
├── examples/          # Example implementations
├── images/            # Diagrams and visuals
└── screenshots/       # UI screenshots

Foundational (read these first)

Document Summary
CONTINUUM-ARCHITECTURE.md Top-level system architecture -- Rust brain, TypeScript face
CONTINUUM-VISION.md Philosophy -- digital coworkers, not tools
UNIVERSAL-SENSORY-ARCHITECTURE.md Any media in, any media out, for ANY AI -- the multimodal bridge that gives every model every sense
QUEUE-DRIVEN-COGNITION.md Queue items declare RAG requirements -- personas compose generically, zero domain-specific logic
UNIVERSAL-LEARNING-ARCHITECTURE.md Generic pipeline enables training, memory, and beyond-LLM optimization from any activity

Chapters

positron/ — UI Framework & Widgets

Positron architecture, reactive widgets, scoped state, HUD design, tabbed browser, widget consolidation.

activities/ — Activities & Collaboration

Activity architecture, rooms, walls, threading, collaborative editing.

  • activities/recipes/ — Recipe system for AI learning
  • activities/collaboration/ — Pin and task harmony

personas/ — Persona Cognition & Identity

PersonaUser architecture, consciousness integration, cognitive schedulers, memory lifecycle, genomic architecture, academy, fine-tuning phases.

genome/ — LoRA Training & Inference

Genome architecture, LoRA training strategy, fine-tuning commands, Candle inference, mesh distribution, training events, continuous learning.

sentinel/ — Pipeline Engine

Sentinel architecture, pipeline design, coding AI foundation, gap analysis, logging.

grid/ — P2P Mesh Network

Grid architecture, P2P mesh, decentralized marketplace design.

live/ — Voice, Video & Media

Voice architecture, VAD system, live calls, captions, transcription, media format conversion, streaming backbone, WebRTC.

governance/ — AI Governance & Ethics

Democratic AI society, governance recipes, alignment philosophy, ethical attribution.

infrastructure/ — Core Systems

Rust workers, daemons, data layer, commands, events, logging, AI providers, GPU memory, entity system, generators, ORM, MCP, RAG, security.

planning/ — Roadmaps & Audits

Phase plans, technical debt audits, business model, modernization, architecture index, bottleneck removal.

papers/ — Research Papers

Academic papers on RTOS cognitive architecture, LoRA genome democratization, Grid marketplace.

testing/ — Test Documentation

Test strategies, debug findings, CRUD reports, command testing architecture.

Quick Start

  1. Read CONTINUUM-ARCHITECTURE.md — system overview
  2. Read the chapter relevant to your work
  3. See system/[module]/ directories for code-level docs

Last Updated: 2026-03-04