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kagenti:operator

Deploy and manage the Kagenti operator, agents, and tools on Kubernetes clusters.

292|103|Updated Mar 27, 2025
Search Tags:#devops#deployment#ai agents#kubernetes#operator#kagenti
One-click install
npx skills add https://github.com/kagenti/kagenti --skill kagenti-operator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kagenti:operator
Source: https://github.com/kagenti/kagenti/tree/main/.claude/skills/kagenti%3Aoperator
Command: npx skills add https://github.com/kagenti/kagenti --skill kagenti-operator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the complex process of deploying and managing the Kagenti AI agent platform, its associated agents, and tools on Kubernetes clusters.

Core Features & Use Cases

  • Platform Deployment: Installs the Kagenti operator, CRDs, and necessary components.
  • Agent & Tool Management: Builds and deploys AI agents and tools as Kubernetes resources.
  • Testing & Validation: Facilitates running end-to-end tests for deployed agents.
  • Use Case: A DevOps engineer needs to set up the Kagenti platform for a new AI project. They can use this skill to quickly deploy the operator and then deploy a sample weather agent and its associated tool to a Kubernetes cluster.

Quick Start

Deploy the Kagenti operator and platform components to a Kind cluster by running the installer script.

Frequently Asked Questions about kagenti:operator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy and manage AI agents on Kubernetes?▼

To deploy and manage AI agents on Kubernetes, you can use an operator to orchestrate installer execution, CRD management, and pipeline creation. This automates building and deploying agents and tools as Kubernetes resources.

What is a Kubernetes operator for AI agent infrastructure?▼

A Kubernetes operator for AI agent infrastructure deploys and manages the platform, associated agents, and tools. It handles CRD management and pipeline creation to satisfy requirements for scalable AI agent operationalization.

Can I use this deployment method with Kind and OpenShift clusters?▼

Yes, you can deploy the Kagenti operator, agents, and tools on both Kind and OpenShift clusters. The installer script orchestrates platform deployment and demo deployments across these various environments.

How do I install CRDs and build tools for an AI agent platform?▼

You install CRDs and build tools by running the installer script, which deploys the operator and necessary components. This orchestrates CRD management and pipeline creation for building AI agents as Kubernetes resources.

What's the best way to validate deployed AI agents in a cluster?▼

The best way to validate deployed AI agents is by running end-to-end tests after the operator deployment. This testing and validation process ensures the agents and associated tools function correctly within the Kubernetes environment.

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