Umbrella orchestrator for the Autarkis spatial stack — the mint for embodied-AI ground truth.
Project description
Lingot
The mint for the reserve currency of embodied AI. Lingot is the umbrella orchestrator of the Autarkis spatial stack — the thin layer that depends on the worker services and conducts them through one pipeline:
spec -> cadastre (registry + solve) -> chitin (physics .phys) -> oneiros (render) -> StagedScene
Lingot is intentionally thin. It owns the order and the data hand-off; the work lives in the workers, each an independently published package.
Install
pip install lingot # Python orchestrator + CLI (PyPI: lingot)
npm install @autarkis/lingot # JS orchestrator / client (npm bare `lingot` is taken -> scoped)
The Rust force-directed solver is not vendored here — it ships as its own worker package and is pulled in as a dependency. Lingot orchestrates; it does not implement.
Local development
The worker repos are siblings (../cadastre, ../chitin, ../oneiros). Wire
them in editable mode, then run the pipeline on a spec:
just dev-install
just run path/to/spec.json
Every pipeline stage delegates to a worker adapter in src/lingot/workers.py.
Stages with no wired worker raise a clear error naming what to connect — the
skeleton runs end-to-end the moment the seams are filled.
Layout
lingot/
|- src/lingot/ # Python orchestrator
| |- pipeline.py # stage order + data hand-off
| |- workers.py # one adapter seam per worker service
| \- cli.py # `lingot run spec.json`
|- ts/ # @autarkis/lingot — JS orchestrator / client
\- justfile # dev / test / build across py + ts
See ../LINGOT.md for the full thesis.
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