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Medicine Wheel & Abundance Intelligence Research

The Medicine Wheel Developer Suite — seven npm packages encoding Indigenous relational ontology as first-class code structures, positioned within the Abundant Intelligences research program and Two-Eyed AI framework.


The Medicine Wheel Developer Suite

Seven published npm packages form a layered architecture for relational AI:

Package npm Role
ontology-core medicine-wheel-ontology-core Foundation: TypeScript types, RDF vocabulary, Zod schemas, Wilson alignment, OCAP tracking
relational-query medicine-wheel-relational-query Traverse kinship webs with relational constraints
narrative-engine medicine-wheel-narrative-engine Narrative beats and story flow bound to ceremony
ceremony-protocol medicine-wheel-ceremony-protocol Ceremony types, logs, governance access levels, consent
graph-viz medicine-wheel-graph-viz Relational graph visualization
ui-components medicine-wheel-ui-components Community-facing interface components
prompt-decomposition medicine-wheel-prompt-decomposition PDE — intention exploration as EAST practice

Platform Nucleus

The ontology-core package defines a foundational ontological layer where relations are first-class beings with ceremony context and obligations. Every other package imports from this core — making it a genuine platform nucleus, not a bag of utilities.

The seven packages describe seven “shapes” of intelligence: data ontology, queries, narrative flow, ceremonial workflow, graph structures, UI affordances, and prompt-level reasoning.


Alignment with Abundant Intelligences

The Abundant Intelligences program, affiliated with the Indigenous AI initiative, proposes reconceptualizing AI based on Indigenous Knowledge Systems. The program is optimized for abundance rather than scarcity — contrasting sharply with the efficiency-maximization framing dominant in mainstream AI.

Where This Portfolio Fits


Two-Eyed AI

A dual-view approach where:

Eye Focus Technical Manifestation
Algorithmic Efficiency, Deep-Thinking Ratio, Think-n early halting Token-level metrics, energy optimization
Indigenous Wilson alignment, OCAP, relational governance computeWilsonAlignment, auditOcapCompliance, relationalCompleteness

The ontology-core package makes both views computable in the same space — Wilson alignment scores and OCAP flags alongside conventional AI metrics.


LangChain and LangGraph Integration

LangChain: Sequential Ceremonial Workflows

LangGraph: Four Directions Multi-Agent System

Direction Agent Function
🌅 East Inquiry Bias detection, Nitshkees Thinking, structural tension detection
🔥 South Planning OCAP flags, ceremony-protocol, consent workflows
🌊 West Practice Data gathering, field notes, transcripts, experiential work
❄️ North Reflection Narrative beats, ceremony logs, Wilson alignment summaries

Graph-level governance ensures sacred knowledge edges require ceremony logs and IKSL compliance.


Gaps Being Addressed

  1. Stack → Platform — narrating the developer workflow through the full suite
  2. Community Workflows — consent wizards, research-paradigm templates, steward documentation
  3. Relational Dashboards — Wilson alignment over time, OCAP compliance rates, structural tension visualization
  4. Edge Deployment — minimal stacks for Raspberry Pi / Jetson Nano with solar-friendly behavior
  5. Polysynthetic Language Adapters — morphological analyzers integrated into narrative and ceremony layers

Key Sources