"The goal of Eclipse LMOS is to create an open platform where AI agents can be developed and integrated across networks and ecosystems, according to Eclipse. Built on standards like Kubernetes, LMOS is in production with Deutsche Telekom, one of the largest enterprise agentic AI deployments in Europe, Eclipse said. ADL, meanwhile, addresses the complexity of traditional prompt engineering. ADL provides a structured, model-agnostic framework enabling engineering teams and businesses to co-define agent behavior in a consistent, maintainable way, Eclipse said."
"Eclipse LMOS is designed to let enterprise IT teams leverage existing infrastructure, skills, and devops practices, Eclipse said. Running on technologies including Kubernetes, Istio, and JVM-based applications, LMOS integrates into enterprise environments, accelerating adoption while protecting prior investments. ADL's introduction empowers non-technical users to shape agent behavior; business domain agents, instead of just engineers, can directly encode requirements into agents, accelerating time-to-market and ensuring that agent behavior accurately reflects real-world domain knowledge, the foundation said."
Eclipse LMOS provides an open platform for developing and integrating AI agents across networks and ecosystems. The platform is built on cloud-native standards like Kubernetes and is already in production with Deutsche Telekom. The new Agent Definition Language (ADL) offers a structured, model-agnostic way to define agent behavior, reducing reliance on traditional prompt engineering. ADL enables engineering teams and business domain experts to co-define and govern agents, improving reliability, scalability, and maintainability. LMOS integrates with existing enterprise infrastructure and devops practices, including Istio and JVM-based applications, accelerating adoption while protecting prior investments.
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