After Eclipse

KAIROS is an evidence-first spatial intelligence system that transforms images into structured scene understanding, actionable reasoning, and controlled software actions. Users upload an image and describe an objective. KAIROS analyzes the scene, generates evidence-linked observations with uncertainty preserved, prioritizes a proposed action plan, and simulates hypothetical changes before execution. Its deterministic simulator exposes constraints, conflicts, and before/after states. A human approval gate prevents unapproved actions, while an allowlisted execution layer and audit journal make outcomes traceable. Built with React, TypeScript, FastAPI, Python, and Pydantic, KAIROS combines multimodal reasoning with simulation and responsible action execution. The project includes a Meta Model API adapter for Muse Spark 1.3 and a clearly labeled deterministic demo mode.