Cilium

Zero-instrumentation Kubernetes observability powered by eBPF

Coroot is an open-source observability platform that uses eBPF to automatically instrument Kubernetes applications without code changes. It provides application maps, latency analysis, log correlation, and continuous profiling with automatic anomaly detection. Replaces the need for manual instrumentation with agents that capture metrics, traces, and logs at the kernel level.

Zero-friction single-binary Kubernetes distribution by Mirantis

k0s is a lightweight, CNCF-certified Kubernetes distribution packaged as a single binary with zero host dependencies. Backed by Mirantis, it simplifies cluster deployment by bundling all required components into one executable that works on any Linux system. Supports x86-64, ARM64, and ARMv7 architectures with automatic upgrades and a built-in control plane load balancer.

Kubernetes operator for serving AI inference workloads

KubeAI is an Apache-2.0 Kubernetes operator for deploying and scaling AI inference workloads, including LLMs, embeddings, reranking, and speech-to-text. It gives platform teams OpenAI-compatible endpoints, model proxy/controller primitives, model caching, scale-from-zero behavior, and cluster-native resource management for self-hosted inference on Kubernetes.

Google’s open-source Kubernetes assistant that translates natural-language intent into precise cluster operations.

kubectl-ai is an AI-powered Kubernetes assistant from Google Cloud Platform. It acts as an intelligent interface for cluster work, translating operator intent into Kubernetes commands and workflows. The key distinction from reactive diagnosis tools is that kubectl-ai is designed as an interactive natural-language interface for planning and executing Kubernetes operations, with provider configuration and MCP-oriented workflows around the CLI.

Microsoft’s public-preview runtime governance toolkit for policy, identity, sandboxing, audit, and MCP security around AI agents.

Agent Governance Toolkit is Microsoft’s MIT-licensed public-preview toolkit for governing AI agent runtimes. It adds policy enforcement, zero-trust identity, execution sandboxing, audit, reliability, and MCP security-gateway patterns around tool calls and autonomous actions, helping platform teams move beyond prompt-only guardrails while preserving architecture review requirements.

Telemetry-aware AI code reviewer that checks how pull requests may affect real services.

Baz is an AI code-review platform focused on production-aware pull requests. Instead of only reading the diff, Baz connects code changes to application telemetry so reviewers can understand what endpoints, services, and runtime behavior may be affected. That makes it a useful complement to existing AI PR bots when the question is not just whether a change looks correct, but whether it could break a live system.

Microsoft’s pytest-native red teaming framework for turning AI agent safety findings into CI tests.

RAMPART is an open-source Microsoft framework for safety and security testing of agentic AI applications. It brings red-team findings into a pytest-native workflow so teams can turn prompt injection, unsafe tool use, and behavioral boundary failures into repeatable regression tests. The strongest aicoolies angle is developer workflow: RAMPART makes agent safety part of CI/CD instead of a one-off security review.

State-machine guardrails for controlling which tools AI coding agents can use at each phase.

Statewright is a guardrail layer for AI coding agents that uses explicit state machines to control what an agent can do at each stage of a workflow. Instead of relying only on prompt instructions, teams can model phases such as plan, implement, test, and review, then constrain tool access for clients like Claude Code, Codex, Cursor, opencode, and related MCP workflows.