Kubernetes AI framework Solo Kagent empowers agentic systems

Solo.io has launched Kagent, an innovative open source framework that equips developers with essential tools for building AI agents specifically designed to enhance Kubernetes workflows. Created in 2025 and built on Microsoft’s AutoGen framework, this platform represents a significant advancement in how DevOps and platform engineers can leverage AI to streamline complex cloud infrastructure management tasks while maintaining appropriate security guardrails.

The big picture: Kagent enables the deployment of AI agents within Kubernetes environments to handle routine infrastructure tasks, allowing engineering teams to focus on higher-value activities.

• The framework integrates with major cloud-native technologies including Kubernetes, Istio, Helm, Argo, and Prometheus.
• It employs a model context protocol (MCP) to standardize connections between AI applications and infrastructure components.

Key capabilities: The framework provides a flexible plugin architecture that connects AI agents with cloud-native tooling and infrastructure.

• Platform teams can create custom tools and AI agents specific to their environment and share them across the organization.
• Pre-defined functions give AI agents immediate capabilities around service metrics, application deployment, platform administration, and security guardrails.

Why this matters: Kagent addresses a significant pain point in cloud infrastructure management by offloading routine tasks to AI agents without requiring organizations to build complex infrastructure.

• The framework enables teams to deploy dynamic AI agents in Kubernetes environments with appropriate security controls.
• Engineers can redirect their focus from repetitive configuration and troubleshooting work to innovation and strategic initiatives.

Built-in features: Kagent comes equipped with comprehensive tooling that covers the entire application lifecycle within Kubernetes.

• The platform includes expert knowledge bases, performance metrics tracking, debugging utilities, and application security controls.
• Configuration, troubleshooting, observability, and network security capabilities are integrated into the core framework.

Practical applications: The framework supports critical infrastructure technologies that form the backbone of modern cloud-native architectures.

• Engineers can leverage Kagent to manage applications deployed via Helm or Argo, configure service meshes with Istio, and monitor systems using Prometheus.
• The standardized model context protocol creates consistency in how AI agents interact with different infrastructure components.