Researchers have proposed Orchestra-o1, an omnimodal agent orchestration framework for coordinating multi-agent systems across several modalities. The paper argues that current orchestration methods are often too narrow for tasks where text, images, audio, and video all interact.
The work targets a growing bottleneck in agent design: task decomposition and collaboration become harder when agents need to reason over heterogeneous inputs rather than a single text stream.
If the approach holds up, it could influence how future agent platforms route subtasks among specialized models and tools in richer multimodal workflows.