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What is roommind?

snazzybean/roommind — explained in plain English

Analysis updated 2026-05-18

316PythonAudience · generalComplexity · 3/5Setup · moderate

In one sentence

A self learning Home Assistant integration that gives room by room climate control by modeling how each room heats and cools.

Mindmap

mindmap
  root((repo))
    What it does
      Self learning climate
      Room thermal model
      Proportional control
    Tech stack
      Python
      Home Assistant
      HACS
    Use cases
      Smart radiator control
      Presence based eco mode
      Window sensor pause
    Audience
      Home Assistant users
      Smart home hobbyists

Code map

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filefunction / class

What do people build with it?

USE CASE 1

Get proportional radiator or AC control instead of simple on and off switching

USE CASE 2

Automatically lower room temperature targets when everyone is away

USE CASE 3

Pause heating when a window or door sensor detects it is open

What is it built with?

PythonHome AssistantHACS

How does it compare?

snazzybean/roommindhkust-c4g/anytalkersimonlin1212/tradingagents-astock
Stars316319312
LanguagePythonPythonPython
Setup difficultymoderatehardmoderate
Complexity3/54/53/5
Audiencegeneraldeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 1h+

Needs an existing Home Assistant setup plus compatible radiator valves or AC devices to control.

So what is it?

RoomMind is a custom integration for Home Assistant (the popular open-source home automation platform) that brings intelligent, self-learning climate control to individual rooms in your home. The problem it solves is that standard smart thermostats and radiator valves use simple on/off logic that causes temperature swings and wastes energy, they don't learn how your specific rooms heat and cool over time. The way it works is through a thermal model that watches how each room's temperature actually responds to heating, cooling, and sunlight, then uses that learned behavior to make smarter decisions. It calculates proportional setpoints for radiator valves and air conditioners, meaning instead of just switching devices on or off, it sends precise target values to hit your desired temperature smoothly. It also accounts for solar gain (how much sunlight is warming a room), presence detection (setting lower "eco" temperatures when everyone's away), window and door sensors that pause heating, mold risk prevention, and automatic blind control to block overheating from sun exposure. You would use this if you have Home Assistant set up and want room-by-room climate control that actually learns your home's thermal behavior rather than relying on simple schedules or basic on/off switching. It installs as a custom component through HACS (the Home Assistant community store) and adds a management panel in the sidebar with analytics, scheduling, and per-room controls. The code is written in Python.

Copy-paste prompts

Prompt 1
Help me install RoomMind in Home Assistant using HACS and set up my first room
Prompt 2
Explain how RoomMind's thermal model learns a room's heating and cooling behavior
Prompt 3
Show me how to configure solar gain and presence detection in RoomMind
Prompt 4
Walk me through the RoomMind sidebar analytics and scheduling panel

Frequently asked questions

What is roommind?

A self learning Home Assistant integration that gives room by room climate control by modeling how each room heats and cools.

What language is roommind written in?

Mainly Python. The stack also includes Python, Home Assistant, HACS.

How hard is roommind to set up?

Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.

Who is roommind for?

Mainly general.

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