Claude Skill
paperclipinc/openclaw-operator
OpenClaw Operator 是一个 Kubernetes operator,用于部署和管理 OpenClaw AI 代理实例,具备生产级安全性、可观测性和生命周期管理。基于 Go 语言构建,支持 Helm。
概览
仓库信息
安装这个 Skill
git clone https://github.com/paperclipinc/openclaw-operator.gitRegistry 信息
项目简介
OpenClaw Operator 是一个基于 Go 语言开发的 Kubernetes operator,用于部署和管理 OpenClaw AI 代理实例。它提供生产级安全性、可观测性和生命周期管理,利用 Helm 图表和 Kubernetes 原生模式简化云原生环境中的 AI 代理运维。
Kubernetes operator for deploying and managing OpenClaw AI agent instances with production-grade security, observability, and lifecycle management.
要点
- 基于 Kubernetes 原生的 OpenClaw AI 代理部署
- 生产级安全性与生命周期管理
- 内置代理实例可观测性
- 基于 Helm 的安装与配置
- 自动化扩缩容与健康监控
使用场景
- 在 Kubernetes 集群中部署 AI 代理
- 在生产环境中管理代理生命周期
- 将 AI 代理与现有云原生基础设施集成
- 利用 Kubernetes 自动扩缩容扩展 AI 代理工作负载
- 确保 AI 代理部署的安全性与可观测性
README 摘要
<p align="center"> <img src="docs/images/banner.svg" alt="OpenClaw Kubernetes Operator — OpenClaws sailing the Kubernetes seas" width="100%"> </p> # OpenClaw Kubernetes Operator [](https://opensource.org/licenses/Apache-2.0) [](https://goreportcard.com/report/github.com/paperclipinc/openclaw-operator) [](https://github.com/paperclipinc/openclaw-operator/actions/workflows/ci.yaml) [](https://kubernetes.io) [](https://go.dev) **Self-host [OpenClaw](https://openclaw.ai) AI agents on Kubernetes with production-grade security, observability, and lifecycle management.** OpenClaw is an AI agent platform that acts on your behalf across Telegram, Discord, WhatsApp, and Signal. It manages your inbox, calendar, smart home, and more through 50+ integrations. While [Paperclip Inc.](https://paperclip.inc/openclaw) offers fully managed hosting, this operator lets you run OpenClaw on your own infrastructure with the same operational rigor. --- ## Why an Operator? Deploying AI agents to Kubernetes involves more than a Deployment and a Service. You need network isolation, secret management, persistent storage, health monitoring, optional browser automation, and config rollouts, all wired correctly. This operator encodes those concerns into a single `OpenClawInstance` custom resource so you can go from zero to production in minutes: ```yaml apiVersion: opencl