this post was submitted on 21 Feb 2026
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Any experiences with a self-hosted assistant like the modern Google Assistant? Looking for something LLM-powered that is smarter than older assistants that would just try to call 3rd party tools directly and miss or misunderstand requests half of the time.

I'd like integration with a mobile app to use it from the phone and while driving. I see Home Assistant has an Android Auto integration. Has anyone used this, or another similar option? Any blatant limitations?

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[–] wildbus8979@sh.itjust.works 23 points 1 week ago (1 children)

Home Assistant can absolutely do that. If you are ok with simple intent based phrasing it'll do it out of the box. If you want complex understanding and reasoning you'll have to run a local LLM, like Llama, on top of it

[–] eager_eagle@lemmy.world 6 points 1 week ago (1 children)

yeah, that's what I'm looking for. Do you know of a way to integrate ollama with HA?

[–] lyralycan@sh.itjust.works 5 points 1 week ago* (last edited 1 week ago) (1 children)

I don't think there's a straightforward way like a HACS integration yet, but you can access Ollama from the web with open-webui and save the page to your homepage:

Just be warned, you'll need a lot of resources depending on which model you choose and its parameter count (4B, 7B etc) -- Gemma3 4B uses around 3GB storage, 0.5GB RAM and 4GB of VRAM to respond. It's a compromise as I can't get replacement RAM, and tends to be wildly inaccurate with large responses. The one I'd rather use, Dolphin-Mixtral 22B, takes 80GB storage and 17GB min RAM, the latter of which I can't afford to take from my other services.

[–] excursion22@piefed.ca 14 points 1 week ago* (last edited 1 week ago) (2 children)

There's an Ollama integration that adds it as a conversation agent.

[–] hendrik@palaver.p3x.de 5 points 1 week ago* (last edited 1 week ago) (1 children)

And there's another custom component, integrating all servers with an OpenAI-compatible API endpoint: https://github.com/jekalmin/extended_openai_conversation

[–] eager_eagle@lemmy.world 5 points 1 week ago

ah, this puts it together and it's exactly what I was looking for, thanks

[–] grue@lemmy.world 13 points 1 week ago (1 children)

I don't like the guy's breathless over-enthusiasm, but NetworkChuck has a video on how to integrate LLM-based voice assistants with HomeAssistant using Whisper and Ollama.

[–] eager_eagle@lemmy.world 8 points 1 week ago (1 children)

ah yes, I stopped watching the guy because of that and the clickbait, but he does make some interesting content sometimes.

[–] Mubelotix@jlai.lu 1 points 1 week ago

He covers interesting subjects but he believes his audience is dumb and unknowledgeable which leads to this. He thinks he has to adapt to the regular youtube game to retain us, but he is just boring everyone

[–] cymor@midwest.social 5 points 1 week ago

Try ollama.com you can download and try whatever you want. Quality is mostly how much VRAM your video card has.

[–] hendrik@palaver.p3x.de 4 points 1 week ago* (last edited 1 week ago)

Livekit can be used to build voice assistants. But it's more a framework to build an agent yourself, not a ready-made solution.

[–] avidamoeba@lemmy.ca 4 points 1 week ago

HA with local LLM on Ollama. Can imtegrate the Android app as the default phone assistant. I don't think it can use a wake word on the phone though. I invoke it by holding the power button, like a walkie.

Home Assistant can do that, the quality will really depend on what hardware you have to run the LLM. If you only have a CPU you'll be waiting 20 seconds for a response, which could also be pretty poor if you have to run a small quantized model

[–] irotsoma@piefed.blahaj.zone 4 points 1 week ago

You have to run an LLM of your own and link it, if you want quality even close to approaching Google, but the Home Assistant with the Nabu Casa "Home Assistant Voice Preview Edition" speakers are working well enough for me. I don't use it for much beyond controlling my home automation components, though. But it's still very early tech anf it doesn't understand all that much unless you add a lot of your own configurations. I eventually plan to add an LLM, but even just running on the home assistant yellow hardware with a raspberry pi compute module 5 works ok for the basics though there is a slight delay.

I haven't tried, but Nabu Casa also offers a subscription service for the voice processing if you want something more robust and can't host your own LLM, but thst means sending your data out, even if they have good privacy policies, which I'm not interested in, because while I somewhat trust Nabu Casa's current business model and policies, being hosted in the US means it's susceptible to the current regime's police-state policies. I'm waiting for hardware costs to recover from the AI bubble to self host an LLM, personally.

[–] Kirk@startrek.website 2 points 1 week ago (1 children)

Maybe things have improved but the last time I tried the Home Assistant er- assistant, it was garbage at anything other than the most basic commands given perfectly.

[–] avidamoeba@lemmy.ca 1 points 1 week ago (1 children)

You gotta hook it to a local LLM. Then it's boss.

[–] Kirk@startrek.website 2 points 1 week ago (1 children)

Any pointers where to begin?

[–] avidamoeba@lemmy.ca 2 points 1 week ago* (last edited 1 week ago)

Install Ollama on a machine with fast CPU or GPU and enough RAM. I currently use Qwen3 that takes 8GB RAM. Runs on an NVIDIA GPU. Running it on CPU is also fast enough. There's a 4GB version which is also decent for device control. Add Ollama integration in Home Assistant. Connect it to the Ollama on the other machine. Add Ollama as conversation agent to the Home Assistant's voice assistant. Expose HA devices to be controllable. That's about it on high level.

[–] billwashere@lemmy.world 1 points 1 week ago

But what’s acting like the little box in your house that listens like an Amazon echo?