Try ollama.com you can download and try whatever you want. Quality is mostly how much VRAM your video card has.
this post was submitted on 21 Feb 2026
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Livekit can be used to build voice assistants. But it's more a framework to build an agent yourself, not a ready-made solution.
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.
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
yeah, that's what I'm looking for. Do you know of a way to integrate ollama with HA?
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.
There's an Ollama integration that adds it as a conversation agent.
And there's another custom component, integrating all servers with an OpenAI-compatible API endpoint: https://github.com/jekalmin/extended_openai_conversation
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
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.