PhiloLabs/fable51-worlds: worlds via code, from fable 5.1 · GitHub

Worlds via code. Explorable, browser-native reconstructions of real places — researched, modelled, and quality-checked end to end by autonomous Claude Fable 5.1 agent swarms, then shipped as plain Three.js apps you can run with npm run dev.

No game engine. No proprietary 3D tiles. Every building, storefront, sign, tree and traffic light is generated from open data and public reference imagery by code that lives in this repo.

_{▶ Watch the full 59-second walkthrough · 1920×1080 · aerial, plaza, Nintendo, lower level, Apple}

The square and its surrounding blocks — Powell, Geary, Post and Stockton — on real terrain and a real street grid, with 129 identified storefronts, working traffic lights and cable cars, day/sunset/night, and two explorable interiors: Apple Union Square (300 Post St) and Nintendo SAN FRANCISCO (331 Powell St).

More worlds coming.

Each world follows the same pipeline, and every stage is in the repo so you can re-run it:

1. Reconnaissance — parallel research agents pull OpenStreetMap geometry, USGS elevation, transit and street specs, and a storefront census with per-fact sources and confidence levels.
2. Offline asset generation — Blender-as-a-library (bpy) scripts emit optimised GLB kits: façade modules, street furniture, vehicles, vegetation, retail fixtures, pedestrian body parts.
3. Runtime — a pure Three.js app assembles terrain, streets, façades, props, crowds and traffic from JSON specs.
4. Camera-match QA — Playwright drives the real app, screenshots fixed viewpoints, and diffs them against free-licensed photographs taken from the same spot; independent reviewer agents (architect, geographer, technical artist, interaction) file reports that drive the next fix cycle.

Code and generated assets: MIT. Geometry is derived from OpenStreetMap (ODbL) and USGS 3DEP (public domain). Reference photographs are not redistributed here — their provenance is recorded per sector in each world’s refs/*/SOURCES.md. Brand names and logos identify the real businesses at their real locations and belong to their owners.