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title: Agent Helidon: License to Scale | daily.dev
description: A conference talk from the Helidon team covers the integration between Helidon and LangChain4j for building agentic Java applications, alongside what&#x27;s new in...
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# Agent Helidon: License to Scale

**[Java \(Official Oracle\)](https://daily.dev/sources/java-oracle)** · 38 min read · 0 upvotes · 0 comments

## Summary

A conference talk from the Helidon team covers the integration between Helidon and LangChain4j for building agentic Java applications, alongside what's new in the just-released Helidon 4.4. Topics include retrieval-augmented generation, tool/function calling, multi-agent workflows, guardrails, and MCP server support, illustrated with a live demo of a Helidon Agentic Assistant chatbot. Also covered: Helidon's new declarative compile-time annotation processing, its reimplemented virtual-threads-based web server, and its new alignment with Java's tip-and-tail release model (next release Helidon 27 tied to Java 27, with an LTS at Helidon 29/Java 29).

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=ewSwIZvN9lY>

## Questions this post answers

### What's new in Helidon 4.4?

Helidon 4.4 adds commercial support tied to the Java verified portfolio, adoption of Java's tip-and-tail release model, improved startup time via Leyden, declarative compile-time-processed annotations, a build-time-generated JSON parser, new throughput/rate-limiting options, OpenTelemetry support for AI, an MCP server spec update, and DB26 AI support. It also ships a new LangChain4j integration for building agentic applications.

_Developers tracking Java microservice framework updates can follow Helidon release changes on daily.dev._

### Why did the Helidon project choose LangChain4j for AI integration instead of another Java AI library?

LangChain4j was chosen because it offers a unified API connecting to over 20 different models, letting an application switch or mix models for different agentic calls without code changes, plus over 30 providers and integrations for embeddings and vector stores. It also provides chat memory, local Java-method tool calling, multi-agent workflow orchestration, and asynchronous/streaming agent support.

_Teams comparing Java AI integration libraries can weigh options like this on daily.dev before committing._

### What is Helidon's future release roadmap relative to Java versions?

Helidon 4.4 is the current release, with the next version named Helidon 27 aligned to Java 27, following Java's tip-and-tail model so the framework can adopt new Java tip features quickly. An LTS-aligned release, Helidon 29, will follow with Java 29, giving enterprises a choice between frequent tip releases for new features or LTS releases for stability in production.

_Developers planning Java upgrade paths can track framework-to-JDK version alignment like this on daily.dev._

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#java](https://daily.dev/tags/java), [#langchain4j](https://daily.dev/tags/langchain4j)

[View this post on daily.dev](https://daily.dev/posts/agent-helidon-license-to-scale-6y2gvvgmc)

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