Meet Minomeet: The Zero-Bot, 100% Private AI Meeting Copilot (Built with React & Node.js)

A developer has built Minomeet AI, an open-source meeting copilot that captures audio locally via the Web Audio API and uses local Whisper models for transcription, eliminating the need for external meeting bots. The tool generates structured executive summaries, decision matrices, action items, and follow-up emails in 2–5 minutes, with support for local SLMs like Ollama to ensure 100% privacy.

⚡ Meet Minomeet: The Zero-Bot, 100% Private AI Meeting Copilot Every day, knowledge workers, engineering teams, and sales reps spend hours hopping between standups, sprint reviews, client demos, and strategy syncs. Then comes the real productivity killer: post-meeting administrative work. Someone on the team gets stuck spending 30 to 50 minutes reviewing messy notes, drafting the Minutes of Meeting MOM , assigning action items, and emailing follow-up recaps to stakeholders. Multiply that by 5–10 meetings a week, and hundreds of engineering and revenue hours evaporate into note-taking friction. To fix this, I built Minomeet AI — an open-source, autonomous meeting intelligence copilot that turns long conversations into structured Executive Summaries, Key Decision matrices, Action Items, and follow-up emails in 2–5 minutes — with 100% privacy and zero awkward meeting bots. 🚫 The Problem With Existing AI Notetakers: "The Meeting Bot" Most AI notetakers on the market Otter.ai, Fireflies.ai, Fathom rely on a flawed architecture: they force an external cloud bot to join your calendar invite. This creates three major headaches: - Client & Team Resistance: Clients frequently object to third-party bots recording confidential sales or strategy calls "Who is Otter.ai Notetaker and why are they in our private meeting?" . - Enterprise IT & Compliance Blockers: Regulated industries Fintech, Healthcare, Legal, Defense are legally forbidden from transmitting private voice streams to third-party SaaS clouds. - Bot Rejections & Firewalls: Many corporate Zoom and Google Meet rooms automatically reject external bot attendees. 💡 The Minomeet Solution: How It Works Minomeet eliminates the need for meeting bots entirely by using native Dual-Channel Audio Ingestion directly on your machine. - Zero-Bot Audio Capture: Ingests your microphone + system audio Google Meet, Zoom, MS Teams, Slack Huddles, or browser tabs directly via the Web Audio API without calendar invites. - Real-Time Neural Speech Diarization: Transcribes who said what in real time using local Whisper models. - Structured Executive MOM in 2–5 Minutes: Instead of dumping an unorganized text wall, it structures the discussion into: - 🎯 Executive Summary: High-level strategic overview. - ⚖️ Key Decisions Matrix: Concrete agreements made during the meeting with context. - ✅ Action Items & Deliverables: Assigns tasks to owners with context and target deadlines. - 💬 "Ask Your Meetings" AI: A semantic natural-language Q&A assistant that lets you query your historical meeting archives "What was the agreed budget for the cloud migration last Tuesday?" . - ✉️ 1-Click Follow-Up Email Generator: Instantly crafts professional, concise, or action-oriented recap emails ready to send. - 🛡️ 100% Privacy-First & Local SLMs: Fully compatible with Ollama Llama 3.3, DeepSeek-R1, Qwen 2.5 and local vLLM/LM Studio servers, guaranteeing that zero audio or transcript data ever leaves your computer. 🛠️ The Tech Stack Behind Minomeet Minomeet was engineered from the ground up as a unified, full-stack TypeScript application: - Frontend: React 18, TypeScript, Tailwind CSS, Lucide Icons, Vite 6 - Backend API: Node.js, Express, WebSocket streaming ws , TypeScript - Speech Engine: OpenAI Whisper Neural STT, Web Audio API, FFmpeg - Multi-Model Orchestration: Google Gemini 2.5, Anthropic Claude 3.7 Sonnet, OpenAI GPT-4o, Groq LPUs, and Ollama Local SLMs with self-healing JSON schema validation - Packaging & Deployment: Global Terminal CLI bin/minomeet.js , Docker & Docker Compose 📺 Product Walkthrough in Action Check out the full walkthrough video of Minomeet in action: 🚀 Getting Started in Under 2 Minutes You can run Minomeet locally using Docker or standard Node.js : Option 1: 🐳 1-Command Docker Deployment Recommended Open http://localhost:5001 in your browser — all meeting data and audio uploads are automatically stored in persistent Docker volumes Option 2: 💻 Global Terminal CLI 💡 Optional System Dependency FFmpeg : - macOS : brew install ffmpeg - Ubuntu / Debian : sudo apt install ffmpeg - Windows : winget install Gyan.FFmpeg or choco install ffmpeg ☕ 2. Everyday Casual Launch Once setup is complete, you can launch Minomeet casually at any time from any directory in your terminal: Just press o and your browser instantly opens Minomeet 🌟 Try It Out & Support the Project Minomeet is 100% open-source under the MIT License . If you manage team meetings, sales demos, or daily standups, give it a spin for your next call If you find the project useful, dropping a ⭐ on GitHub means the world and helps support ongoing local AI development What does your team's current meeting documentation workflow look like? Let me know in the comments below