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Documentation Index

Fetch the complete documentation index at: https://docs.agentkube.com/llms.txt

Use this file to discover all available pages before exploring further.

Agents are your intelligent Kubernetes assistants designed to help you manage, debug, and optimize your cluster operations. Agentkube provides AI-powered agents that understand your cluster context and can assist with various Kubernetes management tasks.

Capabilities of Agents

Cluster Understanding: Analyze your Kubernetes cluster resources, configurations, and relationships to provide contextual assistance. Resource Management: Help create, modify, and troubleshoot Kubernetes resources including deployments, services, configmaps, and more. Debugging Support: Assist in identifying and resolving cluster issues, pod failures, networking problems, and performance bottlenecks. Best Practices Guidance: Provide recommendations based on Kubernetes best practices and your specific cluster configuration. Tool Integration: Utilize built-in and extended tools to interact with your cluster, monitoring systems, and external services. Multi-Cluster Support: Work across different cluster contexts while maintaining awareness of cluster-specific configurations and rules.

How Agents Work

Agents in Agentkube operate within the context of your selected Kubernetes cluster and follow these principles: Context Awareness: Agents understand your current cluster context, namespace, and available resources. Rule-Based Behavior: Follow user-defined rules and cluster-specific guidelines to provide consistent and appropriate assistance. Resource Filtering: Respect .kubeignore configurations to focus on relevant resources while maintaining security. Tool Utilization: Leverage built-in tools (kubectl, helm, filesystem, terminal) and configured extended tools for comprehensive cluster management. Secure Operations: Operate within the permissions and constraints defined by your cluster access and configuration settings.