As of: 2026-11-13 13:49 CET.
Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/
Canonical page: https://postcutoff.com/m/agility-digit-motor-cortex/

# Agility Digit whole-body control foundation model ("motor cortex")

Agility Robotics, Agility Arc / Digit AI family. Status: current. Type: robotics model. Released: 2025-08-28.

## How to call it

| Provider | Model id | Endpoint | Docs |
|---|---|---|---|
| Onboard Agility Digit (commercial humanoid, via Agility) |  |  | https://www.agilityrobotics.com/content/training-a-whole-body-control-foundation-model https://www.agilityrobotics.com/content/agility-and-ai |

## Pricing

- Price not published.
- Last checked: not recorded

## Specs

- Input: text
- Output: action
- Context window: not published
- Max output: not published
- Open weights: no
- Licence: proprietary

## Where it stands

- Newer robotics models in the registry since its release: 22. The 5 newest:
  - Praxis-1 (2026-09-30) https://postcutoff.com/m/praxis-1/
  - Helix 2.5 (2026-09-17) https://postcutoff.com/m/figure-helix-2-5/
  - UnifoLM-WLA-1.0 (2026-09-10) https://postcutoff.com/m/unifolm-wla-1-0/
  - Skild S1 (Skild Brain) (2026-08-25) https://postcutoff.com/m/skild-s1/
  - Generalist GEN-1.5 (2026-08-19) https://postcutoff.com/m/generalist-gen-1-5/
- Closed weights.

## What stands out

- Tiny sim-trained whole-body controller: An LSTM with fewer than 1M parameters, trained with RL in NVIDIA Isaac Sim for decades of simulated time in 3-4 days, transferring zero-shot to Digit for balance, walking, arm placement and carrying heavy objects while staying stable. Source: https://www.agilityrobotics.com/content/training-a-whole-body-control-foundation-model
- Layered stack with LLM on top: Higher layers (open-vocabulary detectors, state-machine planners, an LLM such as a Gemini research preview) send targets to the motor cortex; dexterous skills are learned on top of it. Source: https://www.agilityrobotics.com/content/training-a-whole-body-control-foundation-model

## Notes

Agility has not published a large VLA of its own; this is its disclosed foundation-model layer. Digit is in paid deployments (e.g. GXO); Agility opened a Fremont "Physical AI" facility in July 2026 (https://www.nasdaq.com/press-release/agility-opens-new-fremont-facility-accelerate-physical-ai-development-2026-07-16). Not developer-accessible.


Model page: https://postcutoff.com/m/agility-digit-motor-cortex/