Xiaomi Miloco is an AI-powered home automation platform that integrates video and audio perception with intelligent device orchestration.
The tool addresses the challenge of creating truly intelligent home automation by combining multi-modal perception from Mi Home cameras with the MiMo large language model to understand household events and make proactive decisions. It runs as a plugin on OpenClaw and uses common sense reasoning to break down long-term goals into actionable household tasks, recognize family members, and deliver personalized responses based on home memory and individual preferences.
Miloco suits households with Xiaomi smart home ecosystems that want proactive automation rather than reactive rule-based control. The platform is designed for users seeking AI-driven intelligence that can understand context, remember patterns, and anticipate needs across multiple family members. It requires integration with Mi Home cameras as perception inputs and works within the OpenClaw framework for device orchestration.
The project shows active development with frequent releases introducing substantial architectural changes and new capabilities. Recent work includes a redesigned rule and task system allowing multiple rules per task with independent entry and exit conditions, a unified in-process state container synchronized by device events, and direct Mi Home scene triggering from rule actions. The tool has added pet recognition with registration workflows, adaptive Smart Crop resolution that processes only active image regions before inference, and one-click self-upgrade functionality. Development has addressed stability concerns such as reverting camera direct-connect features when native library crashes were discovered on older hardware, while maintaining other improvements. The project includes infrastructure for monitoring token usage by model and endpoint, cross-NAT streaming diagnostics, agent action ledgers, and performance metrics including CPU and thread-count visualization.
