Sam & Claude 61683eeb42 docs: normalize prose dates to DD.mon.YYYY (AGENTS.md rule)

Convert US/ISO prose dates to EU format across iso docs (CHANGELOG, plans,
handoffs, wiki-linked docs). Left as-is (data, not prose): the sample log lines
in FIRSTBOOT.md and the ADMIN-PANEL.md UI mockup (timestamps/snapshot names);
ISO is correct for machine output.

Markdown format gate clean.

2026-06-24 16:44:37 +02:00

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Blender vs geodesic-dome-mcp — Capability Comparison

23.jun.2026 | OSA (mother node) | FreeBSD 15.0

The problem

Generate geodesic dome wireframes for architectural visualization and bill-of-materials calculation. The obvious answer was Blender — it has bpy.ops.mesh.primitive_ico_sphere_add() built in.

Before: Blender

Metric	Value
Packages installed	53
Download size	323 MiB
Installed size	1 GiB
Key dependencies	llvm19, ffmpeg, openimageio, opencolorio, openvdb, pulseaudio
Headless mode	`blender --background` (still pulls X11 deps)
Dome generation time	~14s (Eevee render, 2000×2000)

After: geodesic-dome-mcp

Metric	Value
File size	6 KB (294 lines of Python)
Dependencies	numpy, Pillow (already installed on all nodes)
Dome generation time	<1s (wireframe), sub-second (BOM only)
Headless	Always — no X11, no GPU, no display server
Outputs	Wireframe PNG + structural BOM (JSON)

Capability impact

Capability	Before (Blender)	After (geodesic-dome-mcp)
Can run on 32GB USB ISO?	❌ (1 GiB, exceeds headroom)	✅ (6 KB, negligible)
Can run on 12GB RAM VPS?	❌ (would fit disk but overkill)	✅ (already running)
Can run on bare-metal?	✅ (if installed)	✅ (always)
Structural BOM?	❌ (needs separate script)	✅ (built-in)
Half-sphere mode?	Manual mesh cut	✅ (`half=true`)
Connector analysis?	❌	✅ (3/4/5/6-way counts)
Strut length table?	❌	✅ (grouped by size)
Material cost estimates?	❌	✅ (glass/polycarbonate/insulated)

Registering capabilities

This comparison feeds into the mother node's PostgreSQL hive_nodes table. When a node registers its hardware profile, the capability derivation trigger marks nodes that can run geodesic-dome-mcp (all of them — numpy + Pillow are universal). Nodes that have Blender installed get an additional has_blender: true capability for 3D rendering workloads.

OSA as example (registered 23.jun.2026)

{
  "hostname": "osa.smilepowered.org",
  "ram_gb": 12,
  "cpu_cores": 6,
  "capabilities": {
    "has_gpu": false,
    "cpu_only": true,
    "geodesic_dome_mcp": true
  }
}

12GB RAM, no GPU, but geodesic_dome_mcp runs fine. No Blender needed.

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