Previously known as HomeMind PRO. See the v2.0.0 changelog for migration notes.

An AI assistant for Home Assistant that remembers. Talk to your home in plain language — by voice or text through HA Assist — and Nives recalls your preferences, routines, device nicknames, and sensor baselines across every conversation. No re-teaching, no re-explaining.

Tell it once — "100 ppm is normal for my NOx sensor", "bedroom lights should go to 30% in the evening", "call the WLED strip 'main kitchen light'" — and it remembers next time.

• Persistent memory — preferences, routines, sensor baselines, device nicknames. Survives restarts.
• Natural voice & text control through Home Assistant Assist.
• Knows your home — reads your floors, areas, and device capabilities, so it always knows which room a light is in and how to control it.
• Creates & manages automations — just ask ("turn the porch light on at sunset", "make the evening scene 30 minutes earlier") and Nives builds, edits, lists, or removes Home Assistant automations for you — always confirming before it changes anything, and using what it remembers about your home (your "evening", your preferred brightness).
• Works inside your automations — Nives is also a Home Assistant AI Task provider: call ai_task.generate_data from any automation to get an answer or structured data, reasoned with your home's context. It can even look at a camera snapshot and tell you what matters (with a vision-capable model) — great for smarter, low-false-alarm camera and doorbell alerts.
• Your memories are stored on your machine — the memory database lives on your Home Assistant box, not ours, and there's no telemetry. (To answer you, Nives does send the relevant memories plus your home layout to the model with each request — the add-on docs spell out exactly what goes where. Want none of it to leave the house? Run a local model via Ollama.)
• Two ways to power it — managed Nives Cloud (recommended) or bring your own key. Both run the exact same on-device server and memory; only the AI endpoint differs.

Nives needs a language model to do the thinking. You have two options — pick one in the add-on's Configuration tab.

The no-fuss option, and the best choice for most people — especially if you're new to this, or you'd simply rather not spend your evenings benchmarking models and tweaking settings.

With Nives Cloud you never choose, test, or babysit a model. Behind the scenes we run the best model for the job, always current — we keep testing the field, and when a better one comes along (or ours gets retired) we swap it on our side. Your assistant just keeps getting better, with nothing for you to install or change.

How it works:

1. Sign up at nives.house — one plan, everything included.
2. Copy the key it gives you.
3. Paste it into the add-on's Cloud section and save.

That's it — no AI provider accounts to manage, no model names to research, no surprise bills (a monthly usage allowance is included). See nives.house for current pricing.

Prefer full control? Run Nives with your own provider key — Anthropic, OpenAI, OpenRouter, or a local Ollama endpoint — and pick your own model. No subscription.

A few honest notes so it goes smoothly:

• Your model must support function / tool calling — that's how Nives actually controls your home.
• Memory quality scales with the model: stronger models extract and recall facts more reliably.
• For a fully self-hosted, local-first setup, the open-source home-mind project (which Nives grew from) is purpose-built for exactly that.

1. In Home Assistant, open Settings → Add-ons → Add-on Store.
2. Click the ⋮ menu (top-right) → Repositories.
3. Add this URL: https://github.com/hoornet/nives
4. Find Nives in the store and click Install.
5. Open the Configuration tab, choose Cloud or BYOK (see above), enter your key, and Save.
6. Start the add-on.

Then point Home Assistant at it: Settings → Voice assistants → (your assistant) → Conversation agent → Nives. Now just talk to your home — type in Assist, or speak if you've set up a voice pipeline.

Nives bundles two services into one add-on:

• Nives server — the conversation engine. Connects to Home Assistant automatically (no URL or token to configure) and controls your devices through HA's own tools.
• Shodh memory — an on-device cognitive memory with semantic search, so Nives surfaces the right context at the right moment. The memory store itself never leaves your HA machine. (Shodh Memory is an independent open-source project — Nives integrates it, and the same engine powers home-mind.)

People regularly ask how Nives relates to home-mind — reasonable, since both come from the same author. Short version: it's the same brain in a different box, and Nives has grown extra tools.

Nives started as a fork of the home-mind server, so the core — the conversation engine and the memory layer — is shared heritage. Since then they've deliberately become two independent products aimed at two kinds of people:

• home-mind is the DIY path: Docker Compose, run the server and Shodh Memory yourself, install the integration, wire it together. Full control, every choice yours, completely hands-on.
• Nives is the same stack as one Home Assistant add-on: one container, the companion integration installs itself, Supervisor auto-discovers it. Add repo → install → paste a key → done. In most cases you never need a terminal.

What has actually diverged:

Both are AGPL-3.0 with open repos, and both are maintained. There are no features locked behind the Nives subscription — Cloud exists purely as the less-tinkering option, and the BYOK path is free and never touches our servers. If you enjoy owning every moving part, home-mind is built for you; if you'd rather it just work, that's Nives.

• home-mind — the open-source server Nives grew from (AGPL-3.0). An independent project; run it yourself if you prefer the fully-DIY path.
• Shodh Memory — the cognitive memory engine powering both, by @varun29ankuS. We integrate it, we didn't write it — and neither project would exist without it.
• nives.house — the optional Nives Cloud service.

Nives is in early access and we'd genuinely love to hear from you.

• Bugs / feature ideas: open an issue.
• Cloud or subscription questions: nives.house or hello@nives.house.

AGPL-3.0 — see LICENSE.