OpenMeet

Open-Source Meeting Intelligence Platform

AI-powered transcription, insights, and collaboration for modern teams

Quick Start • Documentation • Features • Web App • Contributing • Roadmap

Table of Contents

• Features
• Web App Features
• Why OpenMeet?
• Quick Start
• Installation
• Configuration
• Architecture
• Tech Stack
• API Documentation
• Components Library
• Integrations
• Deployment
• Roadmap
• The Team
• Contributing
• Security
• License

Features

Web App Features

The OpenMeet web application includes a comprehensive set of features organized into functional areas:

Authentication & Security

Onboarding & First-Time UX

Meeting Management

AI Features

Search & Navigation

Analytics & Reporting

Revenue & Sales

Coaching & Training

Enterprise Administration

Developer Tools

Why OpenMeet?

The Problem: Meeting intelligence tools are either too expensive, too limited, or lock you into proprietary AI systems.

Our Solution: OpenMeet provides enterprise-grade meeting intelligence that's 100% open source:

• Own Your Data - Self-host the entire platform with Docker Compose
• Choose Your AI - Use OpenAI, run local models with Ollama, or mix providers
• Complete Privacy - Air-gapped mode for sensitive environments
• Customize Everything - White-label, custom workflows, fine-tuned models
• No Vendor Lock-in - MIT licensed, forever free, community-driven

"From paying $100+/user/month to running your own meeting intelligence platform for free."

Quick Start

Prerequisites

• Node.js 20+
• Python 3.11+
• Docker and Docker Compose
• pnpm (npm install -g pnpm)

30-Second Setup

# Clone the repository
git clone https://github.com/openmeet/openmeet.git
cd openmeet

# Install dependencies
pnpm install

# Copy environment configuration
cp .env.example .env

# Start infrastructure (PostgreSQL, Redis, Elasticsearch)
docker-compose up -d

# Run database migrations
pnpm prisma migrate dev

# Start development servers
pnpm dev

That's it! Open http://localhost:3003 to see the web app.

Installation

Using Docker (Recommended)

# Clone repository
git clone https://github.com/openmeet/openmeet.git
cd openmeet

# Configure environment
cp .env.example .env
# Edit .env with your settings

# Start all services
docker-compose up -d

# View logs
docker-compose logs -f

Manual Installation

# Clone repository
git clone https://github.com/openmeet/openmeet.git
cd openmeet

# Install Node.js dependencies
pnpm install

# Install Python dependencies (for AI service)
cd apps/ai-service
pip install -r requirements.txt
pip install -r requirements-ml.txt
cd ../..

# Start infrastructure services
docker-compose up -d postgres redis elasticsearch rabbitmq minio

# Wait for services to be healthy
docker-compose ps

# Run Prisma migrations
pnpm prisma migrate dev

# (Optional) Seed database
pnpm prisma db seed

cp .env.example .env

# Terminal 1: API Server
pnpm dev:api

# Terminal 2: Web Frontend
pnpm dev:web

# Terminal 3: AI Service
cd apps/ai-service && uvicorn app.main:app --reload --port 8888

Air-Gapped Mode (Local AI)

For complete privacy, OpenMeet supports running entirely offline with local AI models:

# Start with local Ollama
ollama serve &
ollama pull llama3.2

# Configure .env for local AI
OPENAI_BASE_URL=http://host.docker.internal:11434/v1
OPENAI_MODEL=llama3.2
USE_LOCAL_TRANSCRIPTION=true

# Start OpenMeet
docker-compose up -d

Configuration

Environment Variables

Create a .env file in the project root. See .env.example for all options.

Required Variables

AI Provider Configuration

Architecture

+-------------------------------------------------------------------------+
|                         CLIENT LAYER                                     |
|  +--------------+  +---------------+  +--------------+  +------------+  |
|  |   Next.js    |  |    Chrome     |  | React Native |  |   GraphQL  |  |
|  |   Web App    |  |   Extension   |  |  Mobile App  |  |   Client   |  |
|  |    (PWA)     |  |               |  |              |  |            |  |
|  +------+-------+  +-------+-------+  +------+-------+  +------+-----+  |
+---------+------------------+------------------+----------------+---------+
          |                  |                  |                |
          +------------------+---------+--------+----------------+
                                       |
+-----------------------------------------+-----------------------------+
|                         API LAYER                                      |
|  +-------------------------------------------------------------------+ |
|  |                    Express.js API Server                          | |
|  |         REST API - GraphQL - WebSocket - Rate Limiting            | |
|  |                                                                   | |
|  |  +-------------------------------------------------------------+  | |
|  |  |                    SERVICE LAYER (70+)                      |  | |
|  |  |                                                             |  | |
|  |  |  TranscriptionService - RevenueIntelligenceService          |  | |
|  |  |  WorkflowAutomationService - SSOService - RBACService       |  | |
|  |  |  SlackBotService - TeamsIntegrationService - ...            |  | |
|  |  +-------------------------------------------------------------+  | |
|  +-------------------------------------------------------------------+ |
+-------------------------------------------+-----------------------------+
                                            |
+-------------------------------------------v-----------------------------+
|                        DATA LAYER                                       |
|  +-----------+ +-----------+ +-----------+ +-----------+ +-----------+  |
|  |PostgreSQL | |   Redis   | | Elastic-  | | RabbitMQ  | |   MinIO   |  |
|  | (Prisma)  | |  (Cache)  | |  search   | |  (Queue)  | |   (S3)    |  |
|  +-----------+ +-----------+ +-----------+ +-----------+ +-----------+  |
+-------------------------------------------+-----------------------------+
                                            |
+-------------------------------------------v-----------------------------+
|                       AI/ML LAYER                                       |
|  +-------------------------------------------------------------------+  |
|  |                  Python FastAPI AI Service                        |  |
|  |                                                                   |  |
|  |  +----------+ +----------+ +----------+ +----------+ +----------+ |  |
|  |  |  OpenAI  | |Anthropic | |   vLLM   | |  Ollama  | |LM Studio | |  |
|  |  |  GPT-4   | |  Claude  | | (Local)  | | (Local)  | | (Local)  | |  |
|  |  +----------+ +----------+ +----------+ +----------+ +----------+ |  |
|  |                                                                   |  |
|  |  PyAnnote (Diarization) - KeyBERT - spaCy - WhisperX             |  |
|  +-------------------------------------------------------------------+  |
+-------------------------------------------------------------------------+

Tech Stack

Backend

Frontend

AI/ML

Infrastructure

API Documentation

REST API

# Health check
curl http://localhost:4000/health

# Authenticate
curl -X POST http://localhost:4000/api/v1/auth/login \
  -H "Content-Type: application/json" \
  -d '{"email": "user@example.com", "password": "password"}'

# Get meetings (authenticated)
curl http://localhost:4000/api/v1/meetings \
  -H "Authorization: Bearer <token>"

AI Service Endpoints

The Team

OpenMeet is built and maintained by a passionate team of engineers and entrepreneurs:

Nikolaos Papagiannis Co-Founder & Lead Engineer GitHub | LinkedIn

Wojciech M. Pysiewicz Co-Founder & Strategy Website | LinkedIn

Adam Filipowski Co-Founder & Product GitHub | LinkedIn

Roadmap

Completed

• Core meeting transcription and diarization
• Multi-provider AI support (OpenAI, Anthropic, vLLM, Ollama)
• CRM integrations (Salesforce, HubSpot, Pipedrive)
• Revenue intelligence and sales coaching
• Enterprise SSO (SAML, SCIM, OIDC)
• White-label platform with custom branding
• React Native mobile app
• Chrome extension with bot injection
• Complete authentication flows
• Visual workflow automation builder
• AI Apps marketplace and custom builder
• Developer portal with API playground
• PWA support (install, offline, push notifications)

In Progress

• Real-time meeting bot for Zoom/Teams/Meet
• Enhanced video intelligence with visual analysis
• Custom model fine-tuning UI
• Multi-language support expansion

Planned

• Desktop application (Electron)
• Meeting scheduling (Calendly-like)
• Plugin marketplace
• On-premise deployment guide

Contributing

We welcome contributions! Please see our Contributing Guide for details.

Quick Contribution Steps

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'feat: add amazing feature')
4. Push to branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Development

# Install dependencies
pnpm install

# Start development servers
pnpm dev

# Run tests
pnpm test

# Run linting
pnpm lint

Security

Security is a top priority. Please see our Security Policy for:

• Supported versions
• Reporting vulnerabilities
• Security best practices

Do not report security vulnerabilities through public GitHub issues.

License

This project is licensed under the MIT License - see the LICENSE file for details.

MIT License - Use freely for commercial and personal projects.