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GitHub - SeloraHomes/ha-selora-ai: Your smart assistant t...
bayshark · 2026-06-18 · via Hacker News: Show HN

Selora AI — Home Assistant Integration

Selora AI is a smart-home AI butler for Home Assistant. It connects to an LLM backend — Selora AI Local (our own on-device model), Anthropic Claude, OpenAI, Google Gemini, or Ollama — learns your home's patterns, and proactively generates automations, all while keeping you in full control.

Open your Home Assistant instance and open a repository inside the Home Assistant Community Store.

Documentation

Selora AI in action


Features

Feature Description
AI Automation Suggestions Analyzes device states and history, then writes draft automations (disabled, prefixed [Selora AI]) for your review.
Pattern Detection Detects time-based routines, device correlations, and usage sequences — then converts them into automation suggestions with confidence scoring.
Natural Language Commands Send plain-English commands via the Selora AI panel or Home Assistant Assist.
Automation Versioning Full version history for every Selora AI automation, with diff viewer in the panel.
Stale Automation Detection Flags automations referencing unavailable entities or that haven't triggered in a while.
MCP Server Exposes a Model Context Protocol endpoint so external AI agents can interact with your home through Selora AI.
Selora AI Local (new in v0.10.0) Our own 1.7B-parameter on-device model with four task-specific LoRA adapters (command, automation, answer, clarification). Runs entirely on your network — no API key, no cloud calls. See Selora AI Local below.
Multiple LLM Backends Supports Selora AI Local (on-device), Anthropic Claude, OpenAI, Google Gemini, and Ollama.

Requirements


Installation

See the installation guide for detailed instructions.


Selora AI Local

Selora AI Local is our own task-tuned model that runs entirely on your network — nothing leaves your home. Released in v0.10.0, it's the recommended way to use Selora AI when privacy or offline operation matters.

What it is

  • Base model: Qwen3 1.7B.
  • Four LoRA adapters, each fine-tuned on a specific Home Assistant task and hot-swapped per request:
    • command — execute natural-language commands ("turn off the kitchen light").
    • automation — generate automations.yaml blocks from a prompt.
    • answer — answer questions about your home state.
    • clarification — ask the user to disambiguate when intent is unclear.
  • Weights, adapters, and trained system prompts are published at huggingface.co/selorahomes/Selora-AI.

Where the model runs

Selora AI Local talks to a llama-server instance (from llama.cpp) over its OpenAI-compatible HTTP API. Two deployment options:

  1. Selora Hub add-on (recommended) — install the Selora Hub add-on from the Home Assistant add-on store. The integration auto-discovers it through Supervisor and pre-fills the host URL during setup.
  2. Self-hosted llama-server — run llama-server yourself with the base model loaded and the four LoRAs registered as slots. Point the integration at http://<host>:8080 during the Selora AI Local config step.

The integration handles LoRA-slot activation (POST /lora-adapters) per request, so the right specialist answers each call.

Running with llama.cpp

Install llama-server from llama.cpp (build from source, or brew install llama.cpp / winget install llama.cpp).

Download the files from huggingface.co/selorahomes/Selora-AI:

  • Base model: qwen3_17b_base.Q6_K.gguf.
  • LoRA adapters (one per specialist):
    • selora-v047-command.f16.gguf
    • selora-v047-automation.f16.gguf
    • selora-v047-answer.f16.gguf
    • selora-v047-clarification.f16.gguf

Start the server with all four adapters registered but not applied — the integration activates the right one per request:

llama-server \
  --model qwen3_17b_base.Q6_K.gguf \
  --ctx-size 8192 \
  --ubatch-size 1024 \
  --n-gpu-layers 999 \
  --cache-reuse 256 \
  --mlock \
  --jinja \
  --reasoning off \
  --lora-init-without-apply \
  --lora selora-v047-command.f16.gguf,selora-v047-automation.f16.gguf,selora-v047-answer.f16.gguf,selora-v047-clarification.f16.gguf

Verify it's up:

curl http://localhost:8080/v1/models

Expected response:

{"models":[{"name":"selorahomes/Selora-AI","model":"selorahomes/Selora-AI","modified_at":"","size":"","digest":"","type":"model","description":"","tags":[""],"capabilities":["completion"],"parameters":"","details":{"parent_model":"","format":"gguf","family":"","families":[""],"parameter_size":"","quantization_level":""}}],"object":"list","data":[{"id":"selorahomes/Selora-AI","aliases":["selorahomes/Selora-AI"],"tags":[],"object":"model","created":1781658061,"owned_by":"llamacpp","meta":{"vocab_type":2,"n_vocab":151936,"n_ctx":8192,"n_ctx_train":40960,"n_embd":2048,"n_params":2031739904,"size":1667055616}}]}

Point the integration at http://<host>:8080 via Settings → LLM Provider → Selora AI Local → Show Advanced Options → Host. Generation parameters (temperature=0.0, stop tokens, per-intent max_tokens caps, LoRA hot-swap) are managed by the integration — no tuning required on the server side.

Privacy

Selora AI Local Cloud providers
Data egress None — stays on your LAN Sent to Anthropic / OpenAI / Google
API key required No Yes
Offline Yes No
Quality on complex prompts Good (task-tuned) Best

Learn More

Topic Link
Configuration Setting up LLM providers and options
Chat Panel & Assist Natural language commands and voice control
AI-Generated Automations How Selora AI suggests and manages automations
MCP Server Connecting external AI agents to your home
Privacy & Support Data privacy per provider and issue reporting

License

Selora Homes Software License. See LICENSE for details.