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