Chat with Orion – a visual agent that sees, reasons and acts
Hey HN! We’re excited to share Orion [1] — our new visual agent that sees, reasons, and acts across images, videos, and documents. Frontier VLMs (GPT, Claude, Gemini) can describe what they see, but they can’t reliably act on visual inputs. Ask them to detect objects, segment images, or chain visual steps — they’ll fail in surprisingly inconsistent ways. High-res images collapse to ~1024px. And the visual AI ecosystem is fragmented across separate APIs for image understanding, OCR, image-gen, video-gen, etc. We built Orion to fix this. Orion combines VLM reasoning with reliable…
Chat with Orion – a visual agent that sees, reasons and acts launched on November 13, 2025 with 22 votes, #591 of 9,795 launches that month and more than 90% of that year's launches.
In plain words
Orion is a visual agent that processes images, videos, and documents to see, reason, and act on visual information. Unlike general AI models that struggle with visual tasks like object detection and image segmentation, Orion combines visual language model reasoning with reliable computer vision tools in a unified interface. It handles high-resolution images, chains multiple visual steps together, and consolidates what is typically fragmented across separate APIs for image understanding, OCR, and generation into one platform.
written from the facts on this page · September 2026
From the sources
Introducing VLM Run Orion — a visual agent that sees, reasons, and acts. Frontier VLMs can describe images but fail at real visual tasks. Orion unites VLM reasoning with precise vision tools to detect, segment, read, and analyze any image, video, or document. It executes multi-step visual workflows reliably, bringing true action-driven visual intelligence to a simple chat interface.
Visual AI that sees, understands, and acts
In the maker’s words, at launch
Hey HN! We’re excited to share Orion [1] — our new visual agent that sees, reasons, and acts across images, videos, and documents. Frontier VLMs (GPT, Claude, Gemini) can describe what they see, but they can’t reliably act on visual inputs. Ask them to detect objects, segment images, or chain visual steps — they’ll…
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Visual Agents with Code ModeJun 2026 · vlm.run · ▲8Hey HN, We’ve been building out an API for ‘Visual ETL’ that we call vlm.run. We’ve been working with foundation models (GPT4o, Gemini) for a few months and kept running into failure modes like: - Hallucinations: even the best foundation models continue to hallucinate outputs for complex visual inputs, even when adhering to a schema. - Rate limits: frontier models like GPT4o are still too expensive or rate limited for high volume visual data. Our API is designed for production workloads which means speed, stability, monitoring and, if needed, private deployments. - Off the shelf schemas:…
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