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kagenti

Official

Deploy and manage AI agents on Kubernetes.

Software Engineering#deployment#ai agents#kubernetes#orchestration#operator#kagenti
Authorkagenti
Version1.0.0
Installs0

System Documentation

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.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: kagenti
Download link: https://github.com/kagenti/kagenti/archive/main.zip#kagenti

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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