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AtmosphereReal-time Java framework for streaming data and AI interactions
Top 12.8% on SourcePulse
<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> Atmosphere is a high-performance, real-time Java framework for scalable server applications. It provides unified, multi-transport communication (WebSocket, SSE, Long-Polling) and integrates advanced features like AI/LLM streaming and an MCP server. Targeting Java developers building modern, interactive applications, it offers robust real-time data exchange and AI capabilities across various Java stacks.
How It Works
Atmosphere offers a unified communication layer with automatic fallback between WebSocket, SSE, and Long-Polling. Its architecture includes server-side room/presence management for group communication. A key feature is AI/LLM streaming, supporting token-by-token delivery via adapters for frameworks like Spring AI and LangChain4j. The integrated MCP server exposes backend tools and resources to clients via a standardized protocol, enabling AI agent interactions.
Quick Start & Requirements
atmosphere-runtime for Servlet 6.0+ containers. Client-side atmosphere.js (v5.0) via npm install atmosphere.js.Highlighted Details
atmosphere.js (v5.0) with React, Vue, Svelte hooks. Kotlin DSL for idiomatic Kotlin.Maintenance & Community
Copyrighted by Async-IO.org (2008-2026). No specific details on active contributors, community channels, or roadmap were found.
Licensing & Compatibility
The license type is not specified, a critical omission for assessing commercial use. Compatible with Spring Boot, Quarkus, Servlet containers, and supports GraalVM native images.
Limitations & Caveats
Native image builds require specific GraalVM JDK versions and may need manual reflection hints for custom classes. The absence of a stated license is a significant adoption blocker for commercial or closed-source integration.
1 day ago
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