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arankair/README.md
Aran Kair — ONISCOR lab

github  ·  oniscor  ·  vsarena  ·  email


Manifesto

Independent technologist. Software, AI and robotics systems — built in public.

I am Aran Kair. I design tools and environments where models have to act in the world, not only talk about it. ONISCOR is my lab and GitHub organization: software, embodied AI and open systems that can be inspected, scored and reused. software, embodied AI and open systems that can be inspected, scored and reused.

The rule is simple: if it cannot be watched, it does not count.


Currently shipping

$ python -m vsarena
HOLDPOSE  dry-run · VLA track · harness ready

Right now I am shipping VSArena — an open browser arena for embodied / VLA stacking. Watch the physics, run a policy, read a public board the browser cannot write.


VSArena, Beacon and NovaCheck

VSArena  ·  next.js / python / rapier
One stacking task on purpose. Rapier at 60 Hz in the browser, a VLA observation track, a Python SDK and harness ELO. Open the live arena →

Beacon  ·  next.js / typescript / open data
Places JPL CAD, JPL Sentry and ESA NEOCC values side by side for the same near-Earth object. No average, no proprietary risk score. Open the live system →

NovaCheck  ·  typescript / node / sarif
Local-first CLI that finds hallucinated npm and PyPI packages in manifests, imports, docs and agent files—before you install them. Source stays on the machine.


WORKING SET / TYPESCRIPT · PYTHON · NEXT.JS · REACT · NODE · RAPIER · BUN · GIT · LINUX



Public signals

Public GitHub contribution statistics for the last year Languages by public source bytes and repository reach The last year of public contributions as an ASCII calendar

Open channel

If you work on embodied AI, evaluation in the open, or robotics software, I am interested in sharp protocols, reproducible failures and small collaborations.

github.com/arankair  ·  arankair.dev@gmail.com


Every graphic on this page is generated inside this repository. Public GitHub signals are drawn directly from the GraphQL API by a scheduled workflow. Fonts are subset and embedded. No tracking pixels, external stat cards or runtime data services.

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