“Kubernetes”

Set up and manage local Kubernetes clusters using KIND (Kubernetes IN Docker).

Use for Kubernetes manifests, Helm, Kustomize, workloads, services, ingress, policy, autoscaling, observability, and cluster operations.

Comprehensive Kubernetes expertise covering cluster architecture, GitOps workflows, manifest generation, Helm charts, security policies, and production…

Kubernetes monitoring & ops for AI agents — safe-by-default access modes and guards.

A Model Context Protocol (MCP) server for Kubernetes and OpenShift

Kubernetes MCP server for diagnosis, resource management, GitOps, and RBAC-enforced operations.

Kubernetes CRD and controller for isolated, stateful sandbox pods that behave like single-container VMs.

Open-source sandbox platform that runs AI agent workloads in isolated environments on your own infrastructure.

AI cloud with GPU instances, managed inference, serverless fine-tuning and Kubernetes or Slurm GPU clusters.

Open-source CLI that scans Kubernetes clusters, diagnoses problems with built-in analyzers and explains them with an LLM.

Open-source AI agent that investigates cloud and Kubernetes incidents, writes root-cause analyses and drafts fix pull requests.

Open-source agent that investigates production incidents and finds root causes across Kubernetes, cloud and SaaS data sources.

Kubernetes-native framework and runtime for building and running AI agents as Kubernetes custom resources.

Python framework for LLM agents that run as durable Dapr workflows, with retries, Kubernetes deployment and human-in-the-loop hooks.

Reinforcement-learning trainer of about 3,500 lines that trains models behind agents run in their own harnesses, locally or as Kubernetes jobs.

Open-source workspace for building, deploying and governing AI agents and workflows, with 270+ integrations and self-hosting

No-code visual tool for creating, testing and refining Rasa conversational assistants, with export to code

Enterprise agent platform for back-office work, with governed Projects, Workflows and an option to self-host in your cloud.

AGENTS.md from kubernetes/kubernetes: 40 lines covering Communication Preferences, Constraints, Contributor Guidelines, Commands and more.

AGENTS.md from containers/kubernetes-mcp-server: 216 lines covering Project Structure, Feature development, Building, Running and more.

CLAUDE.md from HolmesGPT/holmesgpt: 913 lines covering Repository Overview, Development Commands, Architecture Overview, Testing Framework and more.

Lumeus

Lumeusai

AI-Native Security for Agents & Developers.

IronShift

IronShift

Your AI-powered cloud infrastructure copilot.

Open-source framework for large language model evaluations, built by the UK AI Security Institute

Teleport reference architecture for giving AI agents short-lived identities and governed access to tools over MCP.