Framework options include LangChain4j's autonomous approach, plus newer entrants like Koog and Embabel that tackle multistep reasoning and tool integration.

The New Stack is a publication covering trends and technologies in cloud-native development, DevOps, and software delivery. Developers can learn about containerization, Kubernetes, and cloud computing, as well as explore topics such as microservices architecture, serverless computing, and continuous integration/continuous delivery (CI/CD) pipelines.

The New Stack

Java is emerging as a strong contender to Python for enterprise AI development, with multiple frameworks now available for building AI agents. LangChain4j, Embabel, Koog, and Crew4J provide Java developers with tools for integrating LLMs and building agentic systems. While Python remains dominant for research and prototyping, Java's advantages in scalability, performance, concurrency, and enterprise integration position it well for production AI deployments. Industry analysts and framework creators predict Java could match or surpass Python for enterprise AI within 18 months to three years, particularly as the technology matures and production requirements become more critical.

Java Developers Get Multiple Paths To Building AI Agents

Embabel: Targeting the JVM and the Enterprise