Bringing Agentic AI to cloud native
Open-source tools for DevOps and platform engineers to build, deploy, and run AI-powered solutions in Kubernetes. From intelligent agents to MCP servers.
Our projects
kagent
Agentic AI Framework
An open-source framework for running AI agents in Kubernetes, automating complex DevOps operations and troubleshooting tasks with intelligent workflows.
kmcp
MCP Kubernetes toolkit
The easiest way to create, deploy, and securely run MCP servers on Kubernetes — from development to production scale.
Why choose our projects
Open Standards
Built on Agent2Agent (A2A) protocol, Agent Development Kit (ADK), and Model Context Protocol (MCP). We leverage open standards for vendor independence and long-term maintainability.
Cloud Native Ready
Designed for Kubernetes environments from day one. Deploy, scale, and manage AI applications and workloads with cloud-native best practices and enterprise reliability.
Observability
Gain full visibility into AI agent operations with detailed observability, performance metrics, and audit trails. Debug, optimize, and maintain confidence in your autonomous systems.
Common challenges solved
Automated Operations
Reduce manual intervention in complex DevOps workflows with intelligent automation and decision-making capabilities.
Connection Issues
Pinpoint broken links in multi-hop connections and diagnose application unreachability.
Performance Analysis
Diagnose and fix application performance degradation automatically.
Traffic Configuration
Troubleshoot Gateway and HTTPRoute issues for proper traffic management.
Get involved with our community
Whether you're a platform engineer, DevOps professional, or CNCF project maintainer, help us build and shape the future of AI-driven cloud-native operations.