arXiv:2511.14210cs.CV
Orion: A Unified Visual Agent for Multimodal Perception, Advanced Visual Reasoning and Execution
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Abstract
We introduce Orion, a visual agent that integrates vision-based reasoning with tool-augmented execution to achieve powerful, precise, multi-step visual intelligence across images, video, and documents. Unlike traditional vision-language models that generate descriptive outputs, Orion orchestrates a suite of specialized computer vision tools, including object detection, keypoint localization, panoptic segmentation, Optical Character Recognition (OCR), and geometric analysis, to execute complex multi-step visual workflows. The system achieves competitive performance across MMMU, MMBench, DocVQA, and MMLongBench while extending monolithic VLM capabilities to production-grade visual intelligence. Through its agentic, tool-augmented approach, Orion enables autonomous visual reasoning that bridges neural perception with symbolic execution, marking the transition from passive visual understanding to active, tool-driven visual intelligence. Try Orion for free at: https://chat.vlm.run Learn more at: https://www.vlm.run/orion
I’ve taken a more opinionated stance on this. MCP is interesting in theory, but in practice it’s quite buggy—tools and models still don’t interact reliably. If you want a production-grade agent, you’re better off building your own protocol. That’s exactly what we did for the…
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