kagent

Manage AI agent lifecycles on Kubernetes using custom resource definitions.

1|Updated Jan 2, 2026

Search Tags:#automation #kubernetes #observability #crd #ai-agents #cluster-management #ai-ops

Ready to run

npx skills add https://github.com/anasahmed07/doit --skill kagent-anasahmed07

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: kagent
Source: https://github.com/anasahmed07/doit/tree/main/.claude/skills/kagent
Command: npx skills add https://github.com/anasahmed07/doit --skill kagent-anasahmed07

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Kubernetes-native AI agent framework to simplify building, deploying, and managing AI agents on Kubernetes, enabling declarative control, automated health checks, and scalable workflows.

Core Features & Use Cases

Kubernetes-native Agents: Define AI agents as CRDs for declarative lifecycle management across clusters.
Cluster Health & Automation: AI-powered health checks, resource optimization, and observability to improve reliability.
Extensibility & Observability: Pluggable tools and integrations for custom workflows with end-to-end visibility.

Quick Start

Install the Kagent controller in your Kubernetes cluster and create an Agent CRD to begin automated AI agent management.

Frequently Asked Questions about kagent

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

FAQPage Schema

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

Defining AI agents as Custom Resource Definitions (CRDs) enables declarative lifecycle management on Kubernetes. This automates deployment, scales workflows, and manages agent health across multi-namespace cluster environments.

What is CRD-based configuration for AI agent lifecycle management?▼

CRD-based configuration manages AI agents as native Kubernetes resources. This declarative integration automates the entire agent lifecycle, enabling scalable deployments and automated health checks across multi-namespace environments.

Can I use AI agents for cluster health analysis and resource optimization?▼

AI agents automate cluster health analysis, resource optimization, and observability in multi-namespace Kubernetes environments. They perform automated health checks to improve cluster reliability and optimize resource allocation.

Does this Kubernetes AI agent framework support multi-namespace environments?▼

The framework applies AI agent automation across multi-namespace Kubernetes environments. It delivers end-to-end observability and automated health analysis to manage cluster resources and workflows effectively.

How do I get started with automating AI agents using CRDs?▼

Install the controller in your Kubernetes cluster and create an Agent Custom Resource Definition to begin automated management. This setup enables declarative control, automated health checks, and scalable AI workflows.

Are there limitations when using CRDs for AI agent observability?▼

CRD-based AI agent observability depends on cluster configurations and pluggable tools. While providing declarative control and automated health checks, full end-to-end visibility requires proper integration of custom workflow tools.