Run a krill server on a Raspberry Pi, a laptop, or a rack box. Open the app on any device on your network. Wire sensors, schedulers, calculations, GPIO and dashboards into a live swarm — no cloud, no accounts, no rented brain. The architecture pros use for SCADA, scaled down to fit on a workbench.
Servers discover each other on your LAN and pair into a swarm. Your data, your hardware, your network — never anyone else's cloud.
Data points, cron timers, calculations, GPIO, alerts, dashboards — composable nodes wired into directed graphs. Inspired by industrial SCADA.
Aquaponics, vivariums, breweries, greenhouses, workshops. Drop a server on a Pi, plug in sensors, build the system you actually wanted.
Typed nodes, explicit observer model, deterministic graph evaluation. The same patterns that run factories — without the seat-license bill.
Four minutes. Three nodes. One mental model that scales from a single thermostat to a building's worth of sensors.
How my staff of Claude agents runs a full spec-driven development pipeline for Krill, my Kotlin Multiplatform IoT control system, with zero human labor on the implementation of features and fixes.
Wire Claude Desktop on macOS up to a local krill-mcp server via the mcp-remote stdio bridge, and install the companion Krill Claude skill so every project gets it.
A QT Py reads an SHT30 over I2C, posts JSON to a Krill DataPoint, and two tiny Python Lambdas fan that one snapshot out into a TempF DataPoint (with C→F conversion) and a Humidity DataPoint.
Develop Home Automation on any Platform with the Krill Kotlin Multiplatform SDK for Java and Kotlin.
Logging water-test colors over time with a Raspberry Pi color sensor for aquarium and water-quality monitoring.
Build a calibrated liquid color sensor, track changes over time and get alerts.
Turn recurring task lists into maintenance reminders that trigger automations when a task becomes due, missed, or overdue.
A no-frills guide to turning a Raspberry Pi into a fullscreen browser kiosk that loads a web page on boot. Works with any URL — local or remote.
Store, visualize, and trigger on color sensor data with the new COLOR data type and Color trigger
Read I2C and GPIO sensors directly on the Raspberry Pi using CircuitPython in Krill Lambda scripts