Shaping Jakarta Agentic AI Together – Watch the Open Conversation

Community
Screenshot from the Jakarta Agentic AI webinar showing a presentation slide titled “Jakarta Agentic AI” with bullet points about vendor-neutral APIs, early project status, and a Java SE 17 and Jakarta EE 10 baseline. Video thumbnails of multiple panel speakers appear on the left, and a GitHub repository link is displayed on the slide.

Earlier this week, we hosted Jakarta Agentic AI, An Open Conversation, an open house Jakarta TechTalk session, exploring a brand new initiative under the Eclipse Foundation. If you could not join us live, the full recording is now available.

What is Jakarta Agentic AI?

Jakarta Agentic AI is an exploratory project looking at how AI agents could be built, deployed and run within Jakarta EE runtimes. As AI systems increasingly move from simple inference to autonomous, agent-based behaviour, the question becomes how these systems fit into enterprise Java environments that value reliability, security, and portability.

Jakarta Agentic AI on GitHub

What we discussed in the session

During the conversation, panel members actively involved in the project – Reza Rahman (Jakarta EE Ambassadors, Payara), Tanja Obradovic (Eclipse Foundation), Mike Redlich (Garden State JUG, InfoQ), Luis Neto (Payara) & Dominika Tasarz (Payara) – covered topics including:

  • What agentic AI means in the context of enterprise Java
  • Why Jakarta EE is a strong foundation for experimenting with agent-based systems
  • The early goals and design principles guiding the project
  • How openness, flexibility and community input are being prioritised from day one
  • Where feedback and contributions are most valuable right now

The discussion reflects a project at a very early stage, focused on learning, collaboration and shared exploration rather than predefined outcomes.

Why this matters for the Jakarta ecosystem

Jakarta EE has long provided a stable, open platform for enterprise Java applications. As AI-driven systems become more autonomous and more integrated into business workflows, it is important that Jakarta remains an active participant in that evolution.

Jakarta Agentic AI is one way the community can explore how emerging AI patterns align with existing enterprise concerns such as:

  • Portability across runtimes and vendors
  • Security, governance and observability
  • Integration with existing Jakarta EE applications and architectures

Watch the recording and get involved

If you are interested in the future of Jakarta EE, enterprise Java or agent-based AI systems, the recording is a great place to start. You will hear directly from the people shaping the project and get a clear sense of where input from the community can make a real difference.

This initiative is open, early and very much a work in progress. Your questions, ideas and concerns are not just welcome, they are essential!

See the slide deck here.

Find out more about the project.

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