GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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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 (255d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install mirrormateSimilar 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 · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
- CLI
- CLI entrypoint
Source: package.json:bin|scripts · Sep 20, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Sep 20, 2026
- Languages
- typescript, javascript
Source: github.language+package.json · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
**With OpenAI API (easiest):**Source link
Tags
README
Quick Start With OpenAI API (easiest): Open http://localhost:3000 in Chrome. Fully local (Ollama + VOICEVOX): ```bash
For agents
This page has a .md twin and JSON over the API.