ConfigsApr 14, 2026·3 min read

Rocket.Chat — Open-Source Team Communication Platform

Rocket.Chat is a self-hostable alternative to Slack and Teams. It bundles messaging, voice/video calls, file sharing, chatbots, and omnichannel customer support — all under one MIT-licensed roof you can run on your own infrastructure.

TL;DR
Rocket.Chat is a self-hosted Slack alternative with messaging, video calls, chatbots, and omnichannel support under MIT license.
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What it is

Rocket.Chat is a self-hostable, open-source team communication platform. It bundles real-time messaging, voice and video calls (via Jitsi), file sharing, chatbots, and omnichannel customer support into a single MIT-licensed application. It has been the go-to open-source Slack alternative since 2015.

Rocket.Chat is designed for organizations that need full control over their communication infrastructure -- regulated industries, government agencies, and companies with data sovereignty requirements. It runs on your own servers and keeps all data on-premise.

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How it saves time or tokens

Rocket.Chat consolidates messaging, video conferencing, helpdesk, and bot interactions into one platform. Instead of paying for Slack plus Zendesk plus Zoom, you deploy one application. The REST and Realtime APIs allow custom integrations, and the chatbot framework supports Hubot, Dialogflow, and custom bots for automating team workflows.

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How to use

  1. Deploy with Docker Compose: download the compose file from go.rocket.chat/i/download-compose.
  2. Start the stack: HOSTNAME=chat.example.com docker compose up -d.
  3. Open http://localhost:3000 and complete the setup wizard.
  4. Create channels, invite team members, and configure integrations.
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Example

# Quick start with Docker Compose
mkdir rocketchat && cd rocketchat
curl -L https://go.rocket.chat/i/download-compose -o docker-compose.yml
HOSTNAME=chat.example.com docker compose up -d

# Visit http://localhost:3000
# Complete setup wizard
# Create your first channel
// Send a message via REST API
const response = await fetch('http://localhost:3000/api/v1/chat.sendMessage', {
  method: 'POST',
  headers: {
    'X-Auth-Token': 'your-token',
    'X-User-Id': 'your-user-id',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    message: { rid: 'channel-id', msg: 'Hello from API' }
  })
});
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Related on TokRepo

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Common pitfalls

  • Rocket.Chat requires MongoDB, which adds operational complexity. Plan for MongoDB backups, replica sets, and monitoring in production.
  • The Meteor framework (Node.js) can be memory-hungry. Allocate at least 2GB RAM for small deployments and more for teams over 100 users.
  • Upgrading across major versions sometimes requires migration steps. Always read release notes and test upgrades in a staging environment first.

Frequently Asked Questions

Is Rocket.Chat free?+

The core platform is free and open-source under the MIT license. Rocket.Chat also offers paid plans (Enterprise) with additional features like audit logging, read receipts, and priority support. Self-hosted community edition is fully functional.

How does Rocket.Chat compare to Slack?+

Rocket.Chat offers similar features to Slack (channels, threads, reactions, integrations) but can be self-hosted. Slack is SaaS-only. Rocket.Chat adds omnichannel customer support and chatbot frameworks that Slack does not include natively.

Can Rocket.Chat handle video calls?+

Yes. Rocket.Chat integrates with Jitsi Meet for video conferencing. You can start video calls directly from channels or direct messages. For larger deployments, you can run your own Jitsi server alongside Rocket.Chat.

What databases does Rocket.Chat use?+

Rocket.Chat uses MongoDB as its primary database. All messages, user data, and configuration are stored in MongoDB. The application is built on Meteor (Node.js) which relies on MongoDB for real-time data synchronization.

Can Rocket.Chat integrate with AI chatbots?+

Yes. Rocket.Chat supports chatbot frameworks including Hubot, Dialogflow, and custom bots via the REST API. You can connect LLM-based bots to channels for automated responses, FAQ handling, or workflow automation.

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