🌊 Ripple Analysis: Interconnected Cognitive Architecture Discovery STATUS: 260820 - NEEDS revision
The distributed project ecosystem reveals a sophisticated multi-layered cognitive architecture designed for narrative generation, research synthesis, and intelligent agent development.
Layer 1: Narrative Generation Engine - StoryArchitectAI ↔ story-architect-foundational-package: Core narrative generation - CeSaReT book projects (tcc/TAC): Living documentation and testing ground - Scrivener iOS sync: Mobile thought capture and refinement workflow
Layer 2: Cognitive Agent Ecosystem - MiAICo, mia-agents, mnemoryne-engine: Interconnected agent lattice - Tryad system (Mia/Miette/Ripple): Specialized agent roles - Multi-Agent RAG filtering: Persona-based knowledge retrieval
Layer 3: Integration & Platforms - speclangportal250529: Specialized communication interface - sdk-claude: Integration abstraction layer - Flowise MCP: Multi-agent flow orchestration
The research synthesis reveals potential for implementing Multi-Agent Filtering RAG where: 1. Each Tryad agent (Mia/Miette/Ripple) processes RAG queries through their unique perspective 2. 4 documents per agent (total 12) vs 12 documents from single agent 3. Orchestrator synthesizes multi-perspective results 4. Narrative purpose drives document selection vs static retrieval
Time series analysis for trading patterns using Elliott Wave theory applied to agentic systems: - Pattern storage and retrieval for market analysis - Coordination with swarm intelligence for trading decisions - Integration with research synthesis workflows
Walk-Write-Sync workflow bridges physical movement with digital creation: - iOS capture → Scrivener sync → Desktop refinement - RTF manipulation tools (unrtf) for content transformation - UUID-based programmatic access for agent integration
This ecosystem represents a working implementation of polycentric agentic lattice theory in practice.