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kagenti
kagentiOFFICIAL
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kagenti

Deploys and manages the Kagenti platform, its agents and tools on Kubernetes clusters.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill simplifies the deployment and management of the Kagenti platform, its operator, agents, and tools on Kubernetes environments, streamlining AI agent orchestration.

Core Features & Use Cases

  • Platform Deployment: Installs the Kagenti operator and platform components.
  • Agent & Tool Management: Facilitates the deployment of AI agents and their associated tools.
  • E2E Testing: Includes capabilities for running end-to-end tests to ensure functionality.
  • Debugging: Provides tools for debugging UI and connectivity issues.
  • Use Case: A development team needs to deploy a suite of AI agents for a new microservice. This Skill allows them to quickly set up the Kagenti infrastructure on their Kubernetes cluster, deploy the agents, and run tests to confirm they are operational.

Quick Start

Deploy the Kagenti platform on a Kind cluster by running the installer script.

Frequently Asked Questions about kagenti

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

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

To deploy AI agents on Kubernetes, you can use this Skill to install the Kagenti operator and platform components, which orchestrates and manages the agents directly within your cluster environment.

What is the best way to orchestrate AI agents in a Kubernetes cluster?▼

Orchestrating AI agents in a Kubernetes cluster is best handled by deploying a dedicated operator like Kagenti, which streamlines the installation and management of both the agents and their associated tools.

Can I deploy the Kagenti operator on OpenShift or HyperShift?▼

Yes, you can deploy the Kagenti operator on OpenShift and HyperShift, as the deployment process supports these platforms alongside Kind clusters for managing your AI agent infrastructure.

How do I run end-to-end tests for AI agents deployed on Kubernetes?▼

You can run end-to-end tests for deployed AI agents using the built-in E2E testing capabilities included in the Kagenti deployment scripts, ensuring your agents and tools are fully operational.

Do I need specific configuration files to manage AI agents on Kubernetes?▼

Yes, managing AI agents on Kubernetes with Kagenti requires Kubernetes cluster access and Kagenti-specific configuration files to properly deploy and configure the operator, agents, and tools.

How can I debug UI and connectivity issues with my AI agent platform?▼

You can debug UI and connectivity issues with your AI agent platform using the dedicated debugging tools provided by the Kagenti Skill after you deploy the operator and agents to your cluster.

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