Local Models & Home Automation
Key Questions
What local AI automations are featured in Home Assistant setups?
The highlight covers practical automations including a sedentary monitor, procrastination monitor, snarky doorbell using LLM Vision, and kitchen tidy reminders powered by local LLMs. Additional examples include Home Assistant World Cup integrations and presence detection via Pixel phones or routers.
How can local LLMs replace cloud-based voice assistants like Google Home or Alexa?
Users can run local models such as Gemma-4-26B-A4B with llama.cpp on hardware like a GTX 1080, integrated with Home Agent for voice control. This approach enables fully offline operation while maintaining features like notifications and automations.
What are the risks of replacing scripts with local AI agents in home automation?
A cautionary example shows that agents introduced errors, added resource overhead, and security risks for simple file tasks compared to deterministic scripts. The recommended pattern uses agents as classifiers before scripts rather than direct replacements.
Local AI home automation gaining depth. New: first-person walkthrough of 5 weird but practical Home Assistant automations — sedentary monitor, procrastination monitor, snarky doorbell (LLM Vision), kitchen tidy reminder (local LLM). Also: first-person walkthrough of local LLM tool calling with Pi harness (Playwright, SearXNG, Crawl4AI, Qdrant, mem0). First-person experiment giving local LLM (Qwen3.6-35B-A3B) full control over Proxmox via Pi agent harness. WebBrain open-source local-first browser agent. First-person walkthrough replacing Google Home/Alexa+ with local voice assistant using llama.cpp MoE offloading on GTX 1080, Gemma-4-26B-A4B, Home Agent integration. First-person walkthrough of six ESP32 smart home projects. openHAB MCP Server documentation. New today: first-person walkthrough of running local LLMs on slow hardware — morning briefing via Home Assistant with Qwen3-4B, RSS newsletter for Kindle, data anonymization hack. Also: first-person cautionary tale about over-engineering bathroom presence sensor and reverting to dumb switches. Also: first-person walkthrough of Home Assistant World Cup integration (match events trigger lights/notifications, local LLM voice pipeline). Also: first-person walkthrough of using Pixel phone as Home Assistant companion (presence detection via GPS+WiFi, charging sensor trigger for bedtime routine). Also: first-person walkthrough of using router as presence sensor (30-second delay testing, honest pros/cons). Also: first-person walkthrough of moving scheduled tasks from Windows Task Scheduler to Docker containers using Ofelia. Also: deep-dive on local agent observability with Strands Agents, Ollama, Jaeger v2 — model choice dominates tool-calling reliability, two-pass structured output fix, OpenTelemetry wiring. Also: first-person walkthrough of giving local LLMs free web search via SearXNG, including media tracker automation. Also: first-person walkthrough of offloading low-level automations from Home Assistant to ESPHome native blocks and Zigbee direct binding for resilience. New today: first-person cautionary tale about replacing deterministic scripts with one local AI agent — agents introduced errors, resource overhead, security risks for simple file tasks; key insight: agents work better as classifiers before scripts, not replacements. Replicable design pattern. Also: first-person walkthrough of local LLM PKM using Blinko and Open Notebook (self-hosted NotebookLM) with embedding models and MoE LLMs — privacy-driven, replicable pattern. Also: detailed HA compute layer architecture for energy management using Compute Units and single-truth-owner principle — replicable pattern for smart home systems. New today: first-person walkthrough of self-hosting an LLM with Ollama/Open WebUI on Windows PC, integrating with Paperless-ngx, Obsidian, Logseq, VS Code, and Home Assistant — key insight: always-available AI shifts usage from occasional to permanent desktop tool. New today: first-person walkthrough of automating 3D printer with Home Assistant, local LLM voice control, MQTT workaround — replicable pattern for 3D print monitoring. New today: first-person walkthrough of SeloraHomes HA integration with local 1.7B model and LoRA adapters for specific tasks, plus MCP server for external agents — privacy-focused alternative to cloud APIs. Also: significant signal: Google replacing Assistant with LLM-driven layer for Nest devices — watch for deeper walkthroughs. New today: first-person walkthrough testing 7 local LLMs on NAS for smart home automation — Qwen3 1.7B was the only one accurate and fast enough; tool-call reliability matters more than raw size.