HueyOS README

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HueyOS README

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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.

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)

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.

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

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).