kubernetes

Open-source security agent framework for cloud, code, and runtime. It ships 45 built-in agents for AWS, GCP, Azure, Kubernetes, GitHub, and GitLab, and lets users create custom agents in a single markdown file.

Open-source platform for governing AI agents across clouds and stacks, with a control plane, sidecar-based data plane, policy enforcement, observability, and audit trails.

Open-source agentic mesh for governing AI agents across enterprise systems, with identity, policy enforcement, audit trails, observability, and Kubernetes-native deployment.

Wrapper is a self-hosted CLI for hosting, managing, and observing multiple Slack-based AI agents, each isolated in its own hardened container with Langfuse tracing.

Gnoseed is a free spaced-repetition flashcard platform for developers, focused on Kubernetes, DevOps, AI, cloud, and certification prep. It includes 3,924+ practice questions, 47 topic decks, offline use, and learning paths for roles and exams.

A Torque demo page showing proof-gated, policy-checked production changes for a Kubernetes PostgreSQL workload, with signed evidence, authorization records, and replayable audit artifacts.

Skill pack for Claude Code that helps monitor, troubleshoot, and audit Kubernetes clusters using agent-friendly skills and cluster tooling.

Open-source Kubernetes-native runtime for LLM agents. CLRK runs agents in gVisor sandboxes and intercepts outbound traffic for observability, policy enforcement, credential injection, and routing control.

Self-hosted, Kubernetes-native platform for distributed multi-model LLM inference. It includes an OpenAI-compatible API, installer flow, and infrastructure-as-code deployment with support for air-gapped environments.

Open-source, self-hostable platform for shipping Claude Code-style AI agents to Kubernetes or local Docker Compose, with Slack as the first supported channel. The README shows a command-line workflow, deployment tiers, and support for traces, evals, budgets, and model choices.

An open-source course and reference implementation for a self-scaling OCR pipeline on Kubernetes, using Rust for ingestion, vLLM for inference, Redis and KEDA for event-driven scaling, and MCP integration for agent use.

Read-only Kubernetes context engine that turns cluster state into structured context for SREs, scripts, and AI agents. It offers CLI commands for explain, graph, trace, health, dump, and a read-only HTTP API.