OmniRe is a comprehensive method for efficiently reconstructing high-fidelity dynamic urban scenes from device logs. This technology achieves a complete reconstruction of different objects in the scene by constructing a dynamic neural scene graph based on Gaussian representations and building multiple local canonical spaces to simulate various dynamic actors, including vehicles, pedestrians, and cyclists. OmniRe enables comprehensive reconstruction of different objects present in a scene, allowing for real-time simulation of reconstructed scenes involving all participants. Extensive evaluations on the Waymo dataset show that OmniRe significantly outperforms previous state-of-the-art methods both quantitatively and qualitatively.