# HueyOS README (Web Summary)

HueyOS is the public-facing implementation of the Monkey‑Head‑Project: a blend of modular robotics, offline‑first AI orchestration, and governance-aware system design.

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## What HueyOS is trying to solve

Most “AI assistants” assume always‑online operation and opaque control.

HueyOS is designed around the opposite constraints:

- **offline-first** as the default
- **optional** API usage (token-metered) when useful
- **auditability** as a feature, not an afterthought
- a clear separation between:
  - **Huey proper** (the embodied compute inside the robot)
  - **lab infrastructure** (support machines, tooling, storage nodes)

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## Core ideas

### 1) Compute as districts
Instead of one undifferentiated “brain”, Huey runs compute as **districts** (GPU regions) coordinated by an overseer CPU.

### 2) Governance-aware decisions
Major actions are treated as “government decisions”:

- deliberation across roles/agents
- decisions must be explainable in constitutional terms
- logs are preserved for auditing and reboot recovery

### 3) Honeycomb storage
Storage favors modular redundancy and speed (RAID 10 NVMe patterns), plus explicit messaging between districts rather than free-for-all memory access.

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## Where to go next

- **Projects / Research hub:** https://www.dlrp.ca/projects/
- **Research notes:** https://www.dlrp.ca/research/
- **Docs:** https://www.dlrp.ca/docs/
- **Downloads:** https://www.dlrp.ca/downloads.html

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## Status note

HueyOS is under active iteration. The goal is to reach a milestone where Huey can run without manual intervention (“alive” in project terms).