Meetily: A Local-First Meeting Notetaker in Rust, Free Community Edition, Paid PRO Tier
Someone open sourced a fully local AI meeting notetaker that kills Otter, Fireflies, and Fathom in one Rust app.
It's called Meetily. Every meeting gets recorded, transcribed, and summarized entirely on your own machine. Zero cloud. Zero API calls to a company you don't trust with your audio.
The pitch isn't just privacy. It's speed too.
→ Whisper and Parakeet models both bundled in, 4x faster live transcription
→ Ollama handles summaries locally, or plug in Claude, Groq, OpenRouter, or any OpenAI-compatible endpoint
→ Captures your mic and system audio at the same time with intelligent ducking so nothing clips
→ GPU acceleration ships automatic. Metal and CoreML on Apple Silicon. CUDA on NVIDIA. Vulkan on AMD and Intel.
→ Import any old recording and re-transcribe it with a better model or a different language
→ Native app for macOS and Windows. Linux builds from source.
The average data breach costs $4.4M. Every cloud notetaker on the market is a compliance risk waiting to fire.
Meetily is what happens when engineers finally build the alternative.
13.2K stars. MIT License. 100% Opensource.
https://lnkd.in/geyf7rsR
Meetily is an open-source meeting notetaker that records, transcribes and summarizes entirely on your own machine. It's a Rust/Tauri desktop app (MIT-licensed Community Edition) with a repo at roughly 31K GitHub stars.
Transcription runs locally with Whisper or Parakeet. Summaries use local Ollama by default, or you can connect Claude, Groq, OpenRouter or any OpenAI-compatible endpoint. If you pick a cloud provider, your transcript text goes to that provider. It captures mic and system audio simultaneously with ducking and clipping prevention. You can import old recordings and re-transcribe them with a different model or language. GPU acceleration is selected at build time (Metal on Apple Silicon, Vulkan in the Windows installer, CUDA via a source build). It's native on macOS and Windows, and Linux builds from source.
The privacy case is real: IBM's 2026 Cost of a Data Breach report puts the global average at $4.99M ($11.5M in the US). Note that the free Community Edition sits alongside a paid PRO tier with higher transcription accuracy, custom templates and auto-meeting detection.