Open Source Team Chat & Messaging Tools using Babel
A curated collection of the best open source platforms for real-time team messaging, with channels, direct messages, threads, file sharing, and app integrations. using Babel.
Self-hosted team messaging with voice, video, and AI
Stars
46,303Last commit
9 hours agoLicense
MIT
Open source communication platform combining messaging, voice, video, and AI for organizations that need full data control, air-gapped deployments, and zero-trust security.
Open Source Alternative to:
Secure collaboration platform for mission-critical work
Stars
39,416Last commit
9 hours agoLicense
Unknown
Mattermost provides a flexible, open-source platform for secure team collaboration, designed for organizations with strict security and privacy requirements.
Open Source Alternative to:
Secure, decentralized messaging for teams and individuals
Stars
13,608Last commit
9 hours agoLicense
AGPL-3.0
Open-source platform for encrypted communication, file sharing, and collaboration based on the Matrix protocol.
Open Source Alternative to:
Serverless team chat over Tor, no phone number needed
Stars
2,658Last commit
5 days agoLicense
GPL-3.0
Quiet is a peer-to-peer messaging app that syncs messages directly between devices over Tor, with no central server, no phone number required, and no metadata leaks.
Open Source Alternative to:
Create custom spaces to chat, game, and connect globally
Stars
Stars growing over the last 30 days2,001Last commit
20 hours agoLicense
MIT
Build your own community space for gaming, chatting, and hanging out with friends worldwide. Customize your environment for the perfect social experience.
Open Source Alternative to:
Secure open source messaging for professional teams
Stars
Stars growing over the last 30 days171Last commit
12 hours agoLicense
AGPL-3.0
Free Matrix-based messenger with end-to-end encryption, multi-platform bridges, and on-premise deployment. Connect across 30+ networks securely.
Open Source Alternative to:
InfluxDB – The purpose-built time series platform for high-velocity ingestion and real-time queries at scale.
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