kagent

Build, deploy, and manage AI agents natively on Kubernetes.

3.5k|695|Updated Jan 21, 2025
One-click install
npx skills add https://github.com/kagent-dev/kagent --skill kagent-kagent-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kagent
Source: https://github.com/kagent-dev/kagent/tree/main/.claude/skills/kagent
Command: npx skills add https://github.com/kagent-dev/kagent --skill kagent-kagent-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill simplifies the creation, deployment, and management of AI agents within Kubernetes environments, bridging the gap between AI capabilities and cloud-native infrastructure.

Core Features & Use Cases

  • Kubernetes-Native Agents: Build and run AI agents directly on Kubernetes.
  • Declarative & BYO Agents: Supports both YAML-defined and custom container-based agents.
  • IDE Integration: Expose agents as tools in editors like Cursor and Claude Code via MCP.
  • Use Case: Deploy an AI agent that monitors your Kubernetes cluster for resource utilization anomalies and automatically suggests or applies corrective actions, all managed through kagent.

Quick Start

Install kagent to your Kubernetes cluster using the command kagent install --profile demo.

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 natively on Kubernetes?

You can deploy and manage AI agents natively on Kubernetes using kagent, a framework that bridges AI capabilities with cloud-native infrastructure. It simplifies agent creation and operations directly within your cluster environment.

Can I define Kubernetes AI agents declaratively using YAML?

Yes, you can define Kubernetes AI agents declaratively using YAML configurations. kagent supports declarative agent types for YAML-defined setups and BYO custom container-based agents for flexible deployment.

Does kagent work with MCP tools and IDE integrations like Cursor?

kagent works with MCP tools and IDE integrations by exposing agents as tools in editors like Cursor and Claude Code. This connectivity facilitates AI-driven operations directly within your development environment.

What is the best way to automate cloud-native operations with LLMs?

Automating cloud-native operations with LLMs is best achieved by building AI agents on Kubernetes. kagent provides a framework to configure LLM providers and integrate MCP tools for AI-driven infrastructure automation.