Spring AI
Spring / VMwareSpring's official AI framework. ChatClient, advisors, RAG, VectorStore, and full auto-configuration.
Async IO is the company behind Atmosphere — the real-time transport layer for Java AI agents. We provide the engineering, the support, and the long-term commitment that production systems require.
Build once with @Agent — deliver over any transport and any protocol.
Three distinct layers, each independently extensible.
Your application code declares what it does. Atmosphere handles how it is delivered — and falls back automatically when a transport is unavailable.
Add the dependency to your classpath and your agent speaks the protocol. No manual endpoint wiring, no boilerplate.
Atmosphere is the infrastructure layer underneath your LLM library. Your @Agent and @AiTool annotations work across every backend; capability flags are pinned by AbstractAgentRuntimeContractTest so adapter rows cannot drift from the running code.
The Java AI ecosystem has eight third-party agent frameworks. Each
one is moving fast, each one has its own release cadence, and each
one could change direction tomorrow. Atmosphere is the
runtime-abstraction layer that makes your
@Agent, @AiEndpoint, and @AiTool
code portable across all of them — nine total runtimes counting
Atmosphere's own Built-in OpenAI-compatible client. Swap the
dependency, keep the code. Async IO maintains the abstraction and the
bridges; our support contract is the insurance policy against vendor
lock-in.
Spring's official AI framework. ChatClient, advisors, RAG, VectorStore, and full auto-configuration.
Java port of the LangChain ecosystem. Chains, AI services, streaming chat models, and tool bridging.
Agent Development Kit. Multi-agent orchestration, sessions, and the Runner execution engine.
Kotlin-native AI framework. Structured concurrency, typed tools, multi-agent orchestration, Bedrock cache control.
Microsoft's enterprise-grade AI orchestration SDK. ChatCompletionService, kernel plugins, memory, planners.
Multi-agent framework from Alibaba. Structured output, conversation memory, and token usage on top of explicit tool dispatch managed in your code.
Goal-driven agent framework from the creator of Spring. Declarative goals, planned execution, native PromptRunner.
Spring AI Alibaba ReactAgent. Structured output and conversation memory through the Spring AI ChatClient surface.
Atmosphere's zero-dependency OpenAI-compatible client. Built for tests and local dev without pulling in a framework — works with OpenAI, Gemini, Ollama, and any compatible endpoint.
| Framework | Language | Vendor | Atmosphere bridge | Atmosphere support |
|---|---|---|---|---|
| Spring AI | Java | Spring / VMware | atmosphere-spring-ai | Included |
| LangChain4j | Java | Community | atmosphere-langchain4j | Included |
| Google ADK | Java | atmosphere-adk | Included | |
| JetBrains Koog | Kotlin | JetBrains | atmosphere-koog | Included |
| Semantic Kernel | Java | Microsoft | atmosphere-semantic-kernel | Included |
| Alibaba AgentScope | Java | Alibaba | atmosphere-agentscope | Included |
| Embabel | Kotlin | Embabel | atmosphere-embabel | Included |
| Spring AI Alibaba | Java | Alibaba | atmosphere-spring-ai-alibaba | Included |
| Built-in | Java | Async IO | atmosphere-ai | Included |
Atmosphere runs on top of each framework and its
ecosystem — Spring AI, LangChain4j, Google ADK, Microsoft
Semantic Kernel, JetBrains Koog, Alibaba AgentScope, Embabel's
planning engine, and Spring AI Alibaba's ReactAgent. The
Built-in runtime is a zero-dependency
OpenAI-compatible client for tests and local dev. Whichever you
pick, you code against one surface — @Agent,
@AiEndpoint, @AiTool — and you get
more than any framework ships on its own.
Every framework provides these. Atmosphere normalizes them behind one annotation surface, so your agent code is identical whether you run on Spring AI, Koog, AgentScope, or anything in between — and the capability matrix is CI-pinned so the adapter rows can't drift from the running code.
The wider JVM ecosystem has pieces of some of these —
Spring has WebSocket and Kafka, Spring Integration has channel
adapters, there are community MCP clients. Atmosphere is what
wires every item below directly to your
@Agent / @AiTool code, shipped as one
coherent stack and covered by one SLA — instead of half a
dozen separate libraries your team glues together.
You are not shopping between Spring AI and LangChain4j — you already want an agent stack that does not lock you into one framework, one LLM provider, or one vendor. Atmosphere is that stack. Async IO has been selling the support contract that covers the abstraction and the swap since 2014.
Everything you need to build, deploy, and operate AI agents in production. Spring Boot 4.0 and Quarkus 3.21+ auto-configuration included.
One class, one annotation. Endpoints, commands, tools, skill files, conversation memory, and protocol exposure are all auto-wired.
Manage fleets of agents with parallel fan-out, sequential pipelines, conditional routing, and result evaluation.
CheckpointStore persists workflow state as parent-chained snapshots. Pause workflows without holding a thread; resume via REST.
@RequiresApproval pauses tool execution for human approval. The virtual thread parks cheaply until the client responds.
Slack, Telegram, Discord, WhatsApp, Messenger — alongside the default browser endpoint. Set a bot token and the same @Command + AI pipeline works on every channel.
Real-time dashboard, REST API for governance, runtimes, agents, A2A tasks, and flow graphs, WebSocket event stream, and MCP tools for managing agents.
OpenTelemetry tracing, Micrometer metrics, and AI token usage tracking. Auto-configured with Spring Boot.
atmosphere.js with React, Vue, Svelte, and React Native hooks. Streaming, offline queues, auth token refresh.
Atmosphere has been in continuous production since 2008 — powering trading floors, healthcare systems, collaboration tools, and AI applications at companies from startups to the Fortune 500. The team brings over 30 years of experience in real-time systems, JVM internals, and AI infrastructure.
We contributed to Java NIO/AIO and have been shipping real-time Java infrastructure since before WebSocket was standardized. Atmosphere itself has been open source since day one, and the project is backed by a team of Java Champions and Apache Committers who have been active in the JVM ecosystem for decades.
Get direct access to the core engineering team. We wrote the framework, we maintain it, and we stand behind it. Meet your production schedule and compliance requirements with guaranteed response times.
OWASP Agentic Top 10, EU AI Act, HIPAA, and SOC 2 evidence matrices ship in-tree and are CI-pinned. Your auditors get a build artifact, not a slide deck.
atmosphere-verifier refuses unsafe LLM-emitted
workflows before any tool fires — Meijer
Guardians of the Agents (CACM, Jan 2026).
Microsoft's YAML rule schema parsed verbatim, same
audit_entry JSON shape, same agt verify
semantics — drop-in for shops standardising on MS Agent OS.
Atmosphere ships the released spec. Pre-1.0 method names are aliased server-side so your existing A2A clients keep working through the migration.
policyDenyBlocksRuntimeExecute is a build-time
invariant for every adapter — you can't add a runtime
without proving it honours your governance chain.
Still running Atmosphere 2.x or 3.x in production? We provide long-term support, security patches, and migration guidance for legacy deployments. Includes a migration path to Atmosphere 4.x when you are ready.