CrafterDojo: A Suite of Foundation Models for Building Open-Ended Embodied Agents in Crafter

Foundation models are central to building general-purpose embodied agents. Minecraft has become the dominant testbed for this paradigm, but its computational and engineering overhead limits rapid iteration and controlled analysis. Crafter offers a lightweight alternative yet lacks the foundation model ecosystem required for such research. We introduce CrafterDojo, a suite of foundation models, datasets, and data-generation toolkits that establishes Crafter as a testbed for foundation-model-based embodied intelligence, providing CrafterVPT, CrafterCLIP, and CrafterSteve-1. To address Crafter's data scarcity, CrafterDojo includes automatic tools that generate diverse synthetic demonstrations and aligned video-language pairs, yielding the CrafterPlay and CrafterCaption datasets. Experiments show that these datasets support effective foundation model training and enable hierarchical agents that outperform non-hierarchical baselines on long-horizon tasks. We release all code, models, and datasets.