Event

David1726 Makes First Public Release of Embodied Agent Harness 0.6.0

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David1726 made the first public release of Embodied Agent Harness v0.6.0 on GitHub, an embodied intelligence evaluation tool. Users implement agents and skills through two Python entry points, sharing observations, action budgets, and task scoring; the tool includes built-in Panda insertion, nut placement, stacking, and LIBERO placement examples, and supports connecting external inference workers through a UTF-8 JSON process interface. Regarding usage limitations: the manufacturing examples can run without model weights or API keys, and the reference run uses a state-feedback rule controller; the reference simulation was run on Windows, and Linux rendering and full model-driven RoboRSI execution have not yet been verified. The local code uses the MIT license, and attribution information for dependencies and assets is in THIRD_PARTY.md.