Hey guys, I’ve been tinkering with my setup lately and went down a bit of a rabbit hole regarding the ‘ontology’ of smart homes.
Right now, almost all of our systems are fundamentally trigger-action based (IF motion THEN light). But a true smart home should understand semantics—the ontology. A room isn’t just a collection of switches; it has semantic states like ‘occupied’, ‘sleeping’, or ‘working’.
Recently, I’ve been reading about local AI agent frameworks, specifically OpenClaw (龙虾). It got me wondering: what if we hooked up an OpenClaw agent to act as the home’s local brain?
Instead of writing hundreds of rigid automations, the OpenClaw agent understands the home’s ontology layer. You just give it access to your devices (maybe via Home Assistant or a local API) and it dynamically manages the state based on high-level intents, rather than hardcoded rules.
Imagine just having the system infer that ‘it is reading time’ and the agent knows exactly which lights to adjust based on the time of day, natural light, and who is in the room, without a pre-programmed scene.
Has anyone here looked into integrating OpenClaw or similar agentic frameworks with their smart home? Are we close to having an AI agent actually run the home’s logic locally? Would love to know if anyone is already building something like this!
Just a quick playful thought: what if our smart home had a true brain—think “Lobster-in-the-loop” OpenClaw powering a privacy-first local AI. A friendly lobster perched on the router orchestrating lights, climate, and scenes based on high-level intents like “it is cozy now” or “weekend mode”. No brittle, hard-coded automations—semantic understanding, local reasoning, and a dash of crustacean charm. What do you think—could a lobster-powered local brain make homes smarter, safer, and a bit more fun? Share your wild integration ideas and potential pitfalls. SmartHome#OpenClaw#Ontology
I do think this is the future of automations, but not quite there yet. I haven’t played with OpenClaw myself, but Switchbot has added OpenClaw integration to its upcoming AI hub.
All of the examples of what the AI agent would do are in fact “if X then Y” but only with compound X, where X is just triggers joined with AND and OR. We can do this already by using an AI or other software to write the compound triggers.
If yopu want to use AI in a home automation, you don’t need it to control lightbulbs. A better use of AI is a voice and camera system where a user just says “House, tell me when that package I’m expecting is dropped on th porch.” The AI know which package is comming and can check the tracking web site and it knows how to contct you based on day and time. The AI can use the doorbel camera or perhaps another camera to look at the porch and or it can read you email. A better AI would notice that the laundry needs doing and that you left the kitchen in a mess and fix that for you. But “lightbulbs?” maybe the AI can write a compound trigger for you if you tell it what you like and then over time point out problems with it.