meeting-minutes: A Privacy-First AI Meeting Assistant for Local Devices

Introduction

Zackriya-Solutions' meeting-minutes, also known as Meetily AI, is an innovative open-source project providing a privacy-first, AI-powered meeting assistant. Designed to run entirely on your local device, it offers live transcription, note-taking, and intelligent summarization capabilities for macOS and Windows, with Linux support actively being developed. This solution ensures complete data sovereignty, making it ideal for professionals and enterprises concerned about data privacy.

Installation

Getting started with meeting-minutes is straightforward, with options for both native installation and Docker deployment. The project provides detailed guides for Windows and macOS users, ensuring a smooth setup process.

Native Installation (Recommended for Performance): For optimal speed, users can download pre-built frontend installers and backend releases for Windows, or leverage Homebrew for a streamlined installation on macOS. This method requires specific system dependencies like Python, Node.js, and build tools, as outlined in the official documentation.

Docker Setup (Easier Dependency Management): Developers or those preferring containerized environments can utilize Docker. While slightly slower than native installation, Docker simplifies dependency management and provides a consistent environment across systems. Ensure Docker Desktop is installed and allocated sufficient resources.

For comprehensive, step-by-step instructions and troubleshooting, always refer to the official GitHub repository's README file.

Examples

Once installed, Meetily AI allows users to effortlessly manage their meetings. Simply launch the application, grant necessary microphone permissions, and begin recording. The system will provide real-time audio capture and live transcription using locally running Whisper models.

Users can take rich text notes alongside the live transcript, and the AI will generate concise summaries. The platform supports various Whisper model sizes and integrates with different LLM providers, including Anthropic, Groq, and local Ollama models, offering flexibility in AI processing.

Why Use It

In an era where data privacy is paramount, meeting-minutes addresses critical concerns by offering a robust, privacy-first solution. Here are compelling reasons to adopt Meetily AI:

• Privacy-First Design: All meeting data, including audio and transcripts, is processed and stored exclusively on your local device or infrastructure. This eliminates reliance on third-party cloud servers, safeguarding sensitive information from potential breaches and ensuring compliance with regulations like GDPR, SOX, and HIPAA.
• Cost-Effective: By utilizing open-source AI models like Whisper, meeting-minutes significantly reduces operational costs associated with expensive API calls from commercial transcription and summarization services.
• Flexibility and Offline Capability: The self-hosted nature allows the application to function entirely offline, providing uninterrupted service regardless of internet connectivity. It supports various meeting platforms and offers extensive customization options.
• Intelligent Features: Beyond basic transcription, Meetily AI includes advanced features such as an integrated knowledge graph for semantic search across meetings and intelligent summarization, enhancing productivity and information retrieval.
• Enterprise-Ready: With options for 100% on-premise deployment, centralized management, and zero vendor lock-in, Meetily Enterprise offers a scalable and compliant solution for organizations.

Links

Explore the meeting-minutes project further through these official resources:

• GitHub Repository
• Official Website (Meetily AI)
• Latest Releases
• Meetily Discord Community