fikrikarim/parlor

Health v2 · maintenance only

Flags: young

Adoption not part of the score

2039 stars · 262 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Parlor is a fully on-device, real-time multimodal voice assistant similar to GPT-Live, combining speech recognition, a Gemma vision-language model via llama.cpp, and Kokoro text-to-speech in a cascade pipeline. It runs a FastAPI WebSocket server that streams audio and camera frames from a browser, with optional background research via a frontier model API.

Use cases

• run a private voice assistant entirely on my MacBook
• build a GPT-Live alternative that works offline
• self-host a real-time multimodal AI chatbot
• talk to an AI that can see through my camera and hear me
• hands-free voice conversation with automatic turn-taking
• local voice AI for language speaking practice

When to choose

• you want a fully local, privacy-preserving voice assistant on Apple Silicon or Linux
• you need real-time multimodal (voice + vision) interaction without cloud APIs
• you want to self-host a GPT-Live-like experience with no per-token costs

When to avoid

• you need production-grade stability - it is an early research preview with rough edges
• you need a full-duplex speech model rather than a cascade pipeline
• you need Windows or mobile support
• you lack capable local hardware to run a 12B-class model

Facets

application · maturity experimental

speech-recognition tts llm-inference chatbot http-server websocket machine-learning artificial-intelligence speech-processing large-language-models chatbots self-hosted python self-hosted voice-assistant on-device-ai multimodal real-time gemma kokoro mlx apple-silicon local-llm smart-turn macos linux web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="fikrikarim/parlor")