K8M is an AI-driven Mini Kubernetes Dashboard designed to streamline cluster management. Built on AMIS and utilizing `kom` as a Kubernetes API client, K8M integrates the Qwen2.5-Coder-7B model (with support for deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) and allows integration of private large language models. It offers features like AI-powered explanations, resource guidance, YAML translation, log analysis, and command recommendations, enhancing K8s management with intelligent support. It also integrates MCP, providing a variety of tools for cluster operations and enabling large language models to manage Kubernetes effectively, including multi-cluster permission management for secure usage.
Key Features
01Pod file management and shell access
02Multi-cluster management with permission controls
03Helm chart repository and deployment management
04MCP integration for large model driven cluster operations
05190 GitHub stars
06AI-driven insights and assistance for Kubernetes management
