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OpenWAM is an open research stack for systematically developing World-Action Models (WAMs). It turns tightly coupled design choices into modular components and controlled experiments. It consists of:

An open-source research platform for integrating and exploring cutting-edge technologies for generalist robots.

An all-in-one VLA engineering platform for embodied AI — from data to real-robot deployment.

A unified framework for training, fine-tuning, and evaluating World Action Models

The in-context human video generation pipeline starts from task-sampled robot trajectories that retain executable actions.

Flex-π is a 6B-parameter world-action model for robot manipulation. It jointly predicts future RGB, 3D pointmaps, DINOv3 semantics, and actions in training, then deploys as a VLA, as a full world-action model, or as anything in between — all from a single checkpoint.

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