Surprising things I learned putting together a Home Brain
The article discusses the author's experience in creating a conversational system called 'Home Brain' to control IoT devices and access personal knowledge. The author initially faced performance issues with a Raspberry Pi but improved functionality by migrating to a desktop with a powerful GPU. The project involves integrating various technologies, including voice recognition and large language models, to enhance home automation and information retrieval.
- ▪The author started with Home Assistant on a Raspberry Pi but found it slow and migrated to a desktop for better performance.
- ▪The Home Brain system integrates voice recognition and large language models to control IoT devices and answer queries.
- ▪The setup involves a Go voice-assistant pipeline that processes voice commands and retrieves information from indexed datasets.
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| Original publisher | Bitworking |
| Canonical URL | https://bitworking.org/news/2026/05/surprising-things-i-learned-putting-together-a-home-brain/ |
| Publication time | Mon, 18 May 2026 17:18:32 +0000 |
| Retrieval time | 2026-05-18T17:34:56.718Z |
| Last seen | 2026-05-18T17:34:56.718Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | zG1a2jW6bqj4 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
NEWS Surprising things I learned putting together a Home Brain Joe Gregorio 17 May 2026 So, I’m trying to put together something I call a “Home Brain”, a conversational system I can interact with that not only allows me to control IoT devices in my home, but also contains personal knowledge I can access, and also more general knowledge (think wikipedia), and yet all this functionality should run locally, with no cloud services required. I initially started down this path with Home Assistant, adding all of our IoT devices into Home Assistant running on an RPi, which worked fine, but when I took the next step of buying a couple Home Assistant Voice Preview Edition devices I found the performance of the RPi was painfully slow.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Bitworking.
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