note67
Private meeting notes with local Whisper transcription on your Mac.
Local-first meeting notes your AI coding agents can query over MCP.
minutes is an open-source audio project by silverstein (silverstein/minutes on GitHub). It has 1,528 GitHub stars and 169 forks, is released under the MIT license, and was last updated on GitHub on 4 October 2026.
Grab the release from the official site.
Capture audio and let local transcription do the work.
Point Claude Code, Codex, or Cursor at the MCP server.
Ask your agent what was decided in any meeting.
Meeting audio and notes stay on your device.
Agents read your notes over Model Context Protocol.
Ships skills for Claude Code, Codex, and Cursor.
Transcribes with local models for privacy.
Free for personal and commercial use.
A fast native app, not an Electron wrapper.
Download the source and enter the folder.
git clone https://github.com/silverstein/minutes.git
cd minutesCompile the Rust application.
cargo build --releaseStart the server your agents connect to.
./target/release/minutes --helpAn open-source, local-first meeting-notes app that AI agents can query over MCP, at silverstein/minutes.
Claude Code, Codex, Cursor, and any MCP client.
No. It is local-first with on-device transcription.
Yes. MIT licensed.
Check the releases on the official site and repo for supported platforms.
Private meeting notes with local Whisper transcription on your Mac.
Free Mac meeting-notes app with offline transcription and AI notes.
AWS sample app for live meeting transcription and AI summaries.
Local-first AI meeting minutes workbench: FunASR speech-to-text + Ollama LLM.
Live captions and AI meeting review from any system audio — local-first.
Convert any file to clean Markdown for AI agents — a fast Rust MCP server.
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if minutes is not the right fit.
利用 AI 大模型和自动化工作流,根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Free and open — grab the source, star the repo, and start creating.