metadata
language:
- en
license: cc-by-4.0
library_name: none
pipeline_tag: other
tags:
- architecture
- ai-governance
- conversational-state
- long-horizon
- agent-design
- human-in-the-loop
model-index:
- name: hub-spoke-architecture
results: []
Hub-Spoke Architecture
Hub-Spoke is a design framework for governing conversational state in long-horizon AI workflows.
It addresses a systemic failure in linear chat systems: the inability to preserve decision authority as exploratory reasoning accumulates over time.
This repository hosts the canonical design paper and executive brief.
What this is
- A governance model for conversational state
- A framework for preserving authority over long horizons
- A human-in-the-loop alternative to unstructured long-context chat
What this is not
- A trained model
- An agent framework
- A memory store or RAG system
Primary Reference
The full design document, diagrams, and ongoing discussion live on GitHub:
➡️ https://github.com/pstearns/hub-spoke-ai-architecture
Organizational Context
This framework informs internal systems under development at LogixForgeAI, including long-horizon state governance for agentic workflows such as CrankLogix.
Feedback and discussion are welcome via GitHub.
License
This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0).