Artificial intelligence is evolving at an incredible pace, and open source innovation is keeping stride. Across the Eclipse Foundation, an expanding ecosystem of projects is redefining what AI can do, with efforts that span developer tools, data governance, trustworthy model design, and intelligent agent orchestration. What ties them all together is a shared belief that AI should be open, transparent, and built for the real world.<\/p>\n\n\n\n
One of the most exciting projects in this space, Eclipse LMOS<\/a> (Language Model Operating System), just took a big step forward with the introduction of Agent Definition Language (ADL)<\/a>, a new way for teams to design, deploy, and manage AI agents and multi-agent systems at scale.<\/p>\n\n\n\n We have all seen how powerful AI can be, but getting consistent results from language models can still feel like trial and error. Traditional prompt engineering is often a mix of art and luck, and it does not always hold up when you need to scale or govern AI behavior.<\/p>\n\n\n\n That is where ADL comes in. It offers a structured, model-agnostic framework for defining agent behavior that teams can version, test, and improve collaboratively. Instead of relying on scattered prompts or undocumented tweaks, ADL gives you a shared language for how agents think and act so business experts and engineers can finally work together in a unified way.<\/p>\n\n\n\n The result is faster development, stronger alignment between teams, and AI systems that are easier to monitor, adjust, and trust over time.<\/p>\n\n\n\n What makes LMOS so practical is how seamlessly it integrates with existing enterprise environments. It is a cloud native, vendor-neutral platform that runs on familiar technologies such as Kubernetes, Istio, and JVM-based systems<\/strong>. That means you can build and scale advanced multi-agent systems without replacing your infrastructure, retraining your teams, or reinventing your processes.<\/p>\n\n\n\n In short, LMOS meets you where you are. It allows enterprises to leverage their existing people, tools, and workflows while unlocking powerful new AI capabilities.<\/p>\n\n\n\nMoving from prompt engineering to true agent design<\/h2>\n\n\n\n
Built for the enterprise you already have<\/h2>\n\n\n\n