Kodosumi

Kodosumi is a distributed runtime built on Ray, designed to orchestrate and scale AI agents, complex pipelines, and data-intensive workloads in production environments. Its primary purpose is to provide a robust execution layer that can manage large numbers of concurrent tasks while maintaining visibility, reliability, and control at enterprise scale. By leveraging Ray’s distributed computing primitives, Kodosumi enables organizations to run sophisticated agentic systems without having to build and maintain their own underlying infrastructure.

Key capabilities include support for multi-agent workflows, long-running tasks, and dynamic pipelines that can adapt to changing inputs and conditions. Kodosumi offers built-in observability features such as detailed execution tracing, metrics, and logging, allowing teams to monitor performance, debug failures, and optimize resource utilization. It integrates with existing data and model infrastructure, enabling seamless coordination between LLM agents, microservices, and external APIs. The platform also supports fault tolerance and autoscaling, helping maintain consistent performance under variable load.