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mirrormate

orangekame3/mirrormate

Self-hosted personalized AI in a mirror

GraphCanon updated 4w · GitHub synced 4w

484 stars29 forksLast push 7mo TypeScript MIT

Decision brief

MIRRORMATE: TypeScript-based self-hosted AI mirror for personalized home interactions

Good fit when

  • For DIY enthusiasts who want to integrate local LLMs into a smart mirror setup powered by Raspberry Pi
  • When seeking a customizable voice assistant with personalization features in a home environment

Avoid when

  • If prioritizing cloud-based AI services and lack proficiency in locally hosting AI infrastructure
  • For users requiring a solution that does not involve hardware integration or self-hosting capabilities

Observed Jul 16, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Slowing (199d since push)
As of 4w
Provenance
Not a fork · Personal account
As of 4w
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

npm install mirrormate
npm

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

This TypeScript project develops a self-hosted smart mirror that provides personalized AI interaction for home environments. The system can integrate local large language models and function as a voice assistant.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Jul 25, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Jul 25, 2026

CLI
CLI entrypoint

Source: package.json:bin|scripts · Jul 25, 2026

MCP server
No MCP server detected

Source: repo_scan · Jul 25, 2026

Languages
typescript, javascript

Source: github.language+package.json · Jul 25, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

OpenAI APIOpenAI API

Source: README excerpt (regex_v1, Jul 25, 2026)

**With OpenAI API (easiest):**
Source link

Tags

README

Quick Start

With OpenAI API (easiest):

docker run -p 3000:3000 \
  -e OPENAI_API_KEY=sk-xxx \
  -e LLM_PROVIDER=openai \
  -e TTS_PROVIDER=openai \
  ghcr.io/orangekame3/mirrormate:latest

Open http://localhost:3000 in Chrome.

Fully local (Ollama + VOICEVOX):

For agents

This page has a .md twin and JSON over the API.

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