Layering HA + AI brain on an existing premium KNX install — sanity check before I commit
Planning to add Home Assistant + an AI conversation layer on top of an existing professional KNX installation in a large multi-family home. Looking for honest feedback before Phase 1.
The setup:
• Full KNX backbone with ETS file
• \~120+ light groups, \~23-25 ACs, 7-8 FAUs, 14 motorised curtains, 40 keypads
• DALI + Cool Automation KNX-to-VRF
• UniFi network, one AP per room
• Currently on a proprietary visualisation server — works but uninspiring
The plan:
• MDT KNX IP Router + HA on a Mac Mini M4 via Docker
• HomeKit Bridge to expose to Apple Home
• UniFi integration for room-level presence tracking via per-AP phone association
• OpenClaw (or NanoClaw) as the conversation brain, connected to Telegram + HA Voice satellites for “Hey Jarvis” in each room
• Claude or Codex as the LLM
What I actually want feedback on:
1. Is this whole plan actually feasible and genuinely useful day-to-day, or am I overengineering something that’ll end up gathering dust? Brutally honest takes welcome.
2. UniFi presence tracking at this scale (15+ people, multiple SSIDs) — anyone running this in production? Real-world latency for room handoffs?
3. Is this a “set up once and enjoy” project or a “tinker every weekend forever” project? I have a developer to help me for initial setup but I want long-term reliability.
4. Is OpenClaw genuinely safe for home automation given its CVE history? My plan is localhost binding, scoped HA user, zero community skills, no physical security devices exposed. Is that enough, or should I just go NanoClaw and accept the harder voice integration path?
u/magicyogi — 3 days ago