juggleim/im-server

IM Chat, High-performance, scalable, self-hosted instant messaging server in Go — private chat, groups, chatrooms, WebSocket and REST APIs.

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Summary Information

Updated 6 minutes ago
Added to GitGenius on September 19th, 2026
Created on August 26th, 2024
Open Issues & Pull Requests: 11 (+0)
GitHub issues: Enabled
Number of forks: 374
Total Stargazers: 3,556 (+0)
Total Subscribers: 240 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 4.0 days
Mean response time: 16.6 days
90th percentile: 90.0 days
Tracked items: 9

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Issue Activity (beta)

Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 65 days
Stale 30+ days: 1
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • documentation (4)
  • good first issue (3)
  • help wanted (3)
  • question (3)
  • enhancement (2)

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Detailed Description

JuggleIM is a self-hosted instant messaging server that provides a ready-to-use backend for adding chat capabilities to applications, websites, and business systems.

The project addresses the need for a performant, reliable messaging infrastructure by building on Protobuf and WebSocket long-connection protocols designed for efficient message delivery and storage. It supports multiple messaging patterns including private chat, group conversations, and large-scale chatrooms with tens of thousands of members. The architecture is multi-tenant by design, allowing a single deployment to host multiple fully isolated applications. The professional edition scales horizontally to support hundreds of millions of daily active users through clustered deployment.

JuggleIM suits teams building social products, customer-service systems, IoT device communication, live-stream chat, or AI bot conversations who want to self-host their messaging infrastructure. The tool provides SDKs for Android, iOS, Web, PC, Flutter, and HarmonyOS alongside REST APIs and WebHooks for integration with existing systems. It includes built-in AI bot connectivity for language model integration and comes with operational tooling and an admin console. The project emphasizes low bandwidth consumption and reliable connectivity even on poor networks, with multi-device online presence and message synchronization across endpoints.

Development activity shows consistent engagement with the project maintaining documentation and deployment guides. The team provides multiple integration pathways through SDKs and APIs, suggesting attention to developer experience. Community support is available through discussions and question-answer channels. The layered architecture with clearly separated repositories indicates a design philosophy favoring composability and customization by users.