Produtividade
note67
Private meeting notes with local Whisper transcription on your Mac.
★ 217 estrelasAGPL-3.0
Ver o guia →minutes é um projeto de áudio de código aberto de silverstein (silverstein/minutes no GitHub). Tem 1.528 estrelas no GitHub e 169 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 4 de outubro de 2026.
Local-first meeting notes your AI coding agents can query over MCP.
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.
Os outros projetos de Áudio com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se minutes não for o ideal para você.
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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++
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.