llms-txt

Medicine Wheel & Abundance Intelligence Research

The Medicine Wheel Developer Suite — eighteen scoped @medicine-wheel/* 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

The suite provides a layered architecture for relational AI, bridging the Engineer-world’s precision with the Ceremony-world’s relational accountability.

Layer Primary Package Role
Foundational @medicine-wheel/ontology-core Platform nucleus: types, RDF vocabulary, Wilson alignment, OCAP tracking.
Epistemic @medicine-wheel/importance-unit The fundamental unit of knowledge: carries weight and source dimensions.
Ceremonial @medicine-wheel/ceremony-protocol Handles state transitions and path-based governance enforcement.
Narrative @medicine-wheel/narrative-engine Story sequencing and 4-act structure bound to ceremonial timing.
Reasoning @medicine-wheel/prompt-decomposition PDE intent exploration as EAST practice.
Query @medicine-wheel/relational-query Traverse kinship webs with OCAP-compliant discovery.
Coordination @medicine-wheel/fire-keeper Active relational-alignment agent and governance firewall.
Application @medicine-wheel/app Unified CLI (mw) and Server (mwsrv) for research orchestration.
Server @medicine-wheel/mcp Agent-facing surface (64 tools) composing the full suite.

Platform Nucleus

The @medicine-wheel/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 suite encompasses eighteen packages describing specialized “shapes” of intelligence: from foundational data structures and persistence (data-store, storage-provider) to high-level governance (community-review, consent-lifecycle) and presentation (graph-viz, ui-components).


Human Interface: mw & mwsrv CLI

The @medicine-wheel/app package provides the primary human-facing interfaces for the platform.

mw — Medicine Wheel CLI

The mw tool allows researchers to manage the relational research lifecycle directly from the command line.

mwsrv — Medicine Wheel Server

The mwsrv tool launches the platform’s Next.js application, which serves as the data hub and collaborative interface.


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