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# How I Built a Voice-First AI Mirror You Can Run at Home

**[Noted](https://daily.dev/sources/noted)** · 8 min read · 2 upvotes · 0 comments

## Summary

MirrorMate is a self-hosted voice-first AI assistant that runs behind a half mirror, combining hardware (Raspberry Pi, display, microphone) with software (Next.js, SQLite). It supports two deployment modes: minimal cloud setup using OpenAI APIs, or fully local using Ollama, VOICEVOX, and faster-whisper. The system features RAG-based memory for personal context, YAML-driven configuration for swapping LLM/TTS/STT providers, a plugin system for extensibility, and built-in integrations for weather, calendar, and reminders. The architecture keeps the Pi thin (UI and audio only) while offloading heavy AI workloads to a separate inference server, connected via Tailscale for privacy.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://noted.lol/mirrormate/>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#nextjs](https://daily.dev/tags/nextjs), [#iot](https://daily.dev/tags/iot), [#raspberry-pi](https://daily.dev/tags/raspberry-pi), [#ollama](https://daily.dev/tags/ollama)

[View this post on daily.dev](https://daily.dev/posts/how-i-built-a-voice-first-ai-mirror-you-can-run-at-home-wwpmcos0k)

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