Zackriya-Solutions

    Zackriya-Solutions/meetily

    #12 this week

    Privacy first, AI meeting assistant with 4x faster Parakeet/Whisper live transcription, speaker diarization, and Ollama summarization built on Rust. 100% local processing. no cloud required. Meetily (Meetly Ai - https://meetily.ai) is the #1 Self-hosted, Open-source Ai meeting note taker for macOS & Windows. Understand How to write meeting minutes

    ai
    llm
    self-hosted
    ai-meeting-assistant
    local-ai
    mac
    meeting-minutes
    meeting-notes
    Rust
    MIT
    28.4K stars
    3.0K forks
    28.4K GitHub watchers
    Updated 8/8/2026
    View on GitHub

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    Use Cases & Benefits

    • Provides a privacy-first AI meeting assistant that transcribes, diarizes, and summarizes meetings locally using Rust-based models without cloud dependency.
    • Ensures complete data sovereignty and privacy by performing all transcription and summarization on-device, eliminating cloud risks and vendor lock-in.
    • Use for capturing and transcribing sensitive business meetings in real-time on macOS or Windows without exposing data externally.
    • Use for enterprises needing on-premise deployment with centralized management and compliance with GDPR, HIPAA, and other regulations.
    • Use for developers wanting an open-source, customizable AI meeting tool with GPU acceleration and multi-platform support.

    About meetily


    Privacy-First AI Meeting Assistant

    Zackriya-Solutions%2Fmeeting-minutes | Trendshift

    Pre-Release GitHub Repo stars GitHub Downloads (all assets, all releases) License Supported OS GitHub Tag


    Open Source • Privacy-First • Enterprise-Ready

    Get latest Product updates

    WebsiteLinkedInMeetily DiscordPrivacy-First AIReddit

    A privacy-first AI meeting assistant that captures, transcribes, and summarizes meetings entirely on your infrastructure. Built by expert AI engineers passionate about data sovereignty and open source solutions. Perfect for enterprises that need advanced meeting intelligence without compromising on privacy, compliance, or control.

    Meetily Demo
    View full Demo Video

    Table of Contents

    Introduction

    Meetily is a privacy-first AI meeting assistant that runs entirely on your local machine. It captures your meetings, transcribes them in real-time, and generates summaries, all without sending any data to the cloud. This makes it the perfect solution for professionals and enterprises who need to maintain complete control over their sensitive information.

    Why Meetily?

    While there are many meeting transcription tools available, this solution stands out by offering:

    • Privacy First: All processing happens locally on your device.
    • Cost-Effective: Uses open-source AI models instead of expensive APIs.
    • Flexible: Works offline and supports multiple meeting platforms.
    • Customizable: Self-host and modify for your specific needs.
    The Privacy Problem

    Meeting AI tools create significant privacy and compliance risks across all sectors:

    • $4.4M average cost per data breach (IBM 2024)
    • €5.88 billion in GDPR fines issued by 2025
    • 400+ unlawful recording cases filed in California this year

    Whether you're a defense consultant, enterprise executive, legal professional, or healthcare provider, your sensitive discussions shouldn't live on servers you don't control. Cloud meeting tools promise convenience but deliver privacy nightmares with unclear data storage practices and potential unauthorized access.

    Meetily solves this: Complete data sovereignty on your infrastructure, zero vendor lock-in, and full control over your sensitive conversations.

    Features

    • Local First: All processing is done on your machine. No data ever leaves your computer.
    • Real-time Transcription: Get a live transcript of your meeting as it happens.
    • AI-Powered Summaries: Generate summaries of your meetings using powerful language models.
    • Multi-Platform: Works on macOS, Windows, and Linux.
    • Open Source: Meetily is open source and free to use.

    Installation

    🪟 Windows

    1. Download the latest x64-setup.exe from Releases
    2. Right-click the downloaded file → Properties → Check Unblock → Click OK
    3. Run the installer (if Windows shows a security warning: Click More infoRun anyway)

    🍎 macOS

    Install via Homebrew:

    # Install Meetily (single application - everything included!)
    brew tap zackriya-solutions/meetily
    brew install --cask meetily
    

    Upgrading from v0.0.5?

    brew update
    brew upgrade --cask meetily
    

    Then open Meetily from Applications folder.

    ⚠️ Data Migration: The application will ask whether to import your old database through a popup window on first launch.

    🐧 Linux

    Build from source following our detailed guides:

    Quick start:

    git clone https://github.com/Zackriya-Solutions/meeting-minutes
    cd meeting-minutes/frontend
    pnpm install
    pnpm run tauri:build
    

    Key Features in Action

    🎯 Local Transcription

    Transcribe meetings entirely on your device using Whisper or Parakeet models. No cloud required.

    Meetily Demo

    🤖 AI-Powered Summaries

    Generate meeting summaries with your choice of AI provider. Ollama (local) is recommended, with support for Claude, Groq, OpenRouter, and OpenAI.

    Summary generation

    Editor Summary generation

    🔒 Privacy-First Design

    All data stays on your machine. Transcription models, recordings, and transcripts are stored locally.

    Local Transcription and storage

    🎙️ Professional Audio Mixing

    Capture microphone and system audio simultaneously with intelligent ducking and clipping prevention.

    Device selection

    ⚡ GPU Acceleration

    Built-in support for hardware acceleration across platforms:

    • macOS: Apple Silicon (Metal) + CoreML
    • Windows/Linux: NVIDIA (CUDA), AMD/Intel (Vulkan)

    Automatically enabled at build time - no configuration needed.

    System Architecture

    Meetily is a single, self-contained application built with Tauri. It uses a Rust-based backend to handle all the core logic, and a Next.js frontend for the user interface.

    For more details, see the Architecture documentation.

    For Developers

    If you want to contribute to Meetily or build it from source, you'll need to have Rust and Node.js installed. For detailed build instructions, please see the Building from Source guide.

    Enterprise Solutions

    Meetily Enterprise is available for on-premise deployment, giving organizations complete control over their meeting intelligence infrastructure. This enterprise version includes:

    • 100% On-Premise Deployment: Your data never leaves your infrastructure
    • Centralized Management: Support for 100+ users with administrative controls
    • Zero Vendor Lock-in: Open source MIT license ensures complete ownership
    • Compliance Ready: Meet GDPR, SOX, HIPAA, and industry-specific requirements
    • Custom Integration: APIs and webhooks for enterprise systems

    For enterprise solutions: https://meetily.zackriya.com

    Contributing

    We welcome contributions from the community! If you have any questions or suggestions, please open an issue or submit a pull request. Please follow the established project structure and guidelines. For more details, refer to the CONTRIBUTING.md file.

    License

    MIT License - Feel free to use this project for your own purposes.

    Contributions

    Thanks for all the contributions. Our community is what makes this project possible. Below is the list of contributors:

    We welcome contributions from the community! If you have any questions or suggestions, please open an issue or submit a pull request. Please follow the established project structure and guidelines. For more details, refer to the CONTRIBUTING file.

    Acknowledgments

    • We borrowed some code from Whisper.cpp.
    • We borrowed some code from Screenpipe.
    • We borrowed some code from transcribe-rs.
    • Thanks to NVIDIA for developing the Parakeet model.
    • Thanks to istupakov for providing the ONNX conversion of the Parakeet model.

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