The smallest AI agent runtime for edge devices.

A $3 microcontroller inside your fridge watches what gets consumed. It notices you're low on oat milk, checks your Instacart history, and pings you on WhatsApp: "You tried that new Greek yogurt last week but didn't reorder — want to go back to your usual Fage, or give it another shot?" It learns your preferences over time. No app. No screen. Just a chip that pays attention.

You're walking home with hands full of grocery bags. KrillClaw on your garage monitors the house vicinity via your security camera. It sees you approaching with your hands full, recognizes you, understands the situation, and opens the garage door as you walk up — so you don't have to awkwardly dig for the clicker.

Soil moisture drops. Temperature spikes. A traditional sensor triggers a fixed rule. A KrillClaw node reads the sensors, checks the 5-day forecast, recognizes the tomatoes are in flowering stage (needs less water, more heat), and adjusts the irrigation schedule accordingly. It messages you a weekly report: "Tomatoes on track for harvest in ~12 days. Reduced watering 15% — soil was retaining more than usual after Tuesday's rain."

A CNC machine's vibration pattern changes subtly. The KrillClaw node on the motor controller notices, cross-references the maintenance log stored in flash, and messages the floor supervisor: "Spindle vibration up 12% since Monday — similar to the pattern before the bearing replacement in October. Recommend inspection within 48 hours. Current job will finish fine." Predictive maintenance without a $50K platform.

A research prosthetic with KrillClaw embedded. It reads context from sensors and a wrist camera, then downloads fine-motor skill profiles from the cloud in real time. Picking up chopsticks for the first time? It loads a precision-grip pattern. Learning to play piano? Finger independence profile, downloaded in seconds. A prosthetics research lab testing new grasp patterns across dozens of patients? Same hardware, infinite configurations — each hand adapts to its wearer.

This is where edge AI is heading. KrillClaw is the runtime that makes it possible.

Layer adhesion drops on hour 6 of a 10-hour print. KrillClaw reads the temperature sensor, checks the filament spool weight (running low = thinner feed), and adjusts the flow rate mid-print. It texts you: "Print 80% done. Compensated for low spool — increased flow rate 5%. Should finish clean by 2am." You wake up to a perfect part instead of spaghetti.

Your car's OBD-II port speaks data — but the car's own computer was frozen in time the day it shipped. Plug in a $3 microcontroller with KrillClaw. Now it reads engine codes, cross-references them with repair databases, monitors fuel efficiency trends, and texts you: "Your fuel economy dropped 8% this month — likely the air filter based on mileage. $12 part, 5-minute swap. Want me to order one?" A new car with these smarts costs $45K. This costs $3.

Your exercise bike has sensors for cadence, resistance, and heart rate — but its software is whatever the manufacturer shipped. Clip a KrillClaw node onto it. Now it reads your real-time performance, compares it to your training history, and adjusts coaching in context: "Your power output is down 15% from Tuesday — you might be under-recovered. Switching to an endurance zone ride instead of intervals today." A new smart bike with AI coaching: $3,000+. Retrofitting yours: $3.

Your CNC machine cost $50K but its controller is from 2015. Industrial predictive maintenance platforms cost $20K/year. Wire a KrillClaw chip to the vibration sensor and spindle temperature probe. It builds a baseline, detects anomalies, correlates with the maintenance log in flash memory, and messages the floor supervisor before things break. "Spindle bearing vibration trending up 12% since Monday — similar to the pattern before the October replacement. Recommend inspection within 48 hours." New CNC with smart diagnostics: $80K. Retrofitting: $3.

Your washer, dryer, pool pump, HVAC, water heater — all have sensors and control interfaces. None of them talk to each other or think for themselves. A KrillClaw chip on each one, connected to your home WiFi, and suddenly your house has a nervous system. The HVAC knows the dryer is about to dump heat and pre-adjusts. The pool pump shifts to off-peak rates. The water heater pre-heats before your usual shower time. A "smart home" retrofit from a contractor: $5K-15K. Doing it yourself with KrillClaw: $20 in chips.