Pillar III / Community Sovereign AI
HF Community Sovereign AI Architecture.
The reference architecture, code, and partnership for tribes, schools, and institutions building their own sovereign AI infrastructure — without surrendering data, governance, or dignity to extractive platforms. Each node is a survivable cell in the ARPANET-for-AI mesh.
Human Infrastructure
The Weaver Protocol.
Crisis detection that doesn't just escalate — it routes warm handoffs to trained, compensated community navigators stationed at local Chapter Houses. Humans hold humans.
- Weaver Protocol — automated SNBH crisis detection
- Community Weavers at Chapter Houses
- Mentor matching & social learning
- Compensation & training pipelines
Sovereign Intelligence
From cloud gateway to local model.
A clear arc: start with a cloud gateway, move to a locally-tuned LLM trained on Nation-authored corpora, and route decisions through a community-aware Bellman equation.
- Cloud Gateway (Phase 1)
- Locally-Tuned LLM with domain LoRAs (Phase 2)
- Community Bellman Equation routing
- Federated learning across chapters
Physical Infrastructure
Compute close to the people it serves.
DGX Spark deployments at the Nation. Chapter House mesh. Offline-first. The Nation operates its own AI without dependency on any external provider.
- DGX Spark on-Nation deployment
- Chapter House mesh network
- Offline-first edge compute
- Broadband partnership pathways
Where this fits
One of three pillars.
HumaneFrame is composed of three pillars. Community Sovereign AI is the third — the infrastructure layer that holds the learner.
For implementers
The full technical reference.
Whole Picture Map · 5-plane diagram · 5-tier stack · SNBH state vector · Hyperagent swarm · Pedagogical framework · Bellman equation. The complete architecture, with every section expandable on demand.
Open the full architecture