kagent is a Kubernetes native framework for building AI agents that run as workloads within Kubernetes clusters.
The tool addresses the challenge of deploying and managing AI agents at scale by providing a framework purpose-built for Kubernetes environments. Rather than treating agents as external systems, kagent integrates them directly into the Kubernetes orchestration model, allowing agents to be deployed, scaled, and managed using familiar Kubernetes patterns and tooling.
Developers building AI agents that need to run in Kubernetes environments should consider kagent if they want to avoid bridging between agent frameworks and container orchestration. The framework is designed for teams already invested in Kubernetes who want agents to operate as first-class workloads rather than external services. It suits projects where agent lifecycle management, scaling, and observability need to align with Kubernetes native practices.
The project shows consistent development activity with a functional CI pipeline and maintains alignment with cloud native standards through CNCF topic association. The codebase is written in Go, which aligns with the broader Kubernetes ecosystem tooling conventions.
