Open Reality: phone video to AI-queryable 3D scenes. MCP tools for Claude/Codex/Cursor (npm openreality-mcp), the self-hostable broker, and the VGGT-SLAM library, in one repo. BSD-2-Clause.
Scan a room with your phone. Ask your AI assistant about it. Open Reality turns plain video into a 3D scene your AI can measure, navigate, and export as robot-training data. Works from Claude Code, Claude desktop, Codex, and Cursor.
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Demo v1: a real Claude Code (Opus) session against the built-in offline simulator, beside a synchronized scene panel. Video: docs/demo/demo-video-v1.mp4. Rendered from docs/demo/ with VHS.
Live reconstruction from a handheld video: the camera path and the 3D scene build up together. Scan demo and the initial technical idea: VGGT-SLAM by Dominic Maggio, Hyungtae Lim and Luca Carlone (MIT SPARK Lab). Open Reality's reconstruction core builds on their work.
------ 🎥 Video in, 3D scene out Upload a phone video. A few minutes later you have a persistent 3D scene. 📏 Measurement Distances and angles between any points. Numbers are only called metres after you calibrate with real distance; otherwise relative. 🧭 Path planning Plan a route through the scanned free space to an object or a point. 🤖 Robot-training exports Turns a scan into LeRobot / GR00T style datasets or an Isaac Sim scene (hosted service). 🕵️ Scene agents Server-side agents that survey, label, and answer questions about a scene. 🛠️ 41 tools for your AI Everything is exposed through MCP. 🧪 Offline simulator A mock backend fakes the entire workflow with fixture data, so you can develop and demo with no account and no GPU. 🏠 Self-hostable The full server runs o
From the project README.
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