We introduce an open-source system called SIGMA (short for "Situated Interactive Guidance, Monitoring, and Assistance") as a platform for conducting research on task-assistive agents in mixed-reality scenarios. The system leverages the sensing and rendering affordances of a head-mounted mixed-reality device in conjunction with large language and vision models to guide users step by step through procedural tasks. We present the system's core capabilities, discuss its overall design and implementation, and outline directions for future research enabled by the system. SIGMA is easily extensible and provides a useful basis for future research at the intersection of mixed reality and AI. By open-sourcing an end-to-end implementation, we aim to lower the barrier to entry, accelerate research in this space, and chart a path towards community-driven end-to-end evaluation of large language, vision, and multimodal models in the context of real-world interactive applications.

SIGMA是一个开源系统，结合大型语言和视觉模型以及头戴式混合现实设备的感知和渲染特性，通过逐步引导用户完成程序化任务，提供在混合现实场景中研究任务辅助代理的平台，为混合现实与人工智能交叉领域的未来研究提供可扩展的基础。

SIGMA：一个开源的混合现实任务辅助研究系统