⚙️ DevOps & 运维 — Top 10 AI Agent 工具
CI/CD 流水线、容器编排、日志巡检、告警响应——让 AI Agent 帮你盯着服务器。支持 Docker、Kubernetes、GitHub Actions、Terraform 等,让运维从救火变成自动驾驶。
共收录 109 个工具 · 显示评分最高 10 个
multica-ai/multica
精选GoThe open-source managed agents platform. Turn coding agents into real teammates — assign tasks, track progress, compound skills.
brew install multica-ai/tap/multicarocketride-org/rocketride-server
精选C++High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all f
iflytek/skillhub
精选JavaSelf-hosted, open-source agent skill registry for enterprises. Publish & version skill packages, govern with RBAC and audit logs, deploy on-premise with Docker or Kubernetes.
npm install -g @astron-team/skillhubgrafana/mcp-grafana
精选GoMCP server for Grafana
AmoyLab/Unla
精选TypeScript🧩 MCP Gateway - A lightweight gateway service that instantly transforms existing MCP Servers and APIs into MCP servers with zero code changes. Features Docker deployment and management UI, requiring n
docker run -d \always-further/nono
精选Rustnono - a capability-based, multiplexing sandbox tool, built for developers - lift'n'shift seamless path to prod. Run agents securely without needing any additional infra, zero setup, zero latency.
brew install nonostacklok/toolhive
精选GoToolHive is an enterprise-grade platform for running and managing Model Context Protocol (MCP) servers.
containers/kubernetes-mcp-server
精选GoModel Context Protocol (MCP) server for Kubernetes and OpenShift
Flux159/mcp-server-kubernetes
精选TypeScriptMCP Server for kubernetes management commands
claude mcp add kubernetes -- npx mcp-server-kubernetesghostwright/phantom
精选TypeScriptAn AI co-worker with its own computer. Self-evolving, persistent memory, MCP server, secure credential collection, email identity. Built on the Claude Agent SDK.
💡 如何选择合适的 DevOps & 运维 工具?
评分是怎么算的?+
Trove 的评分包含 4 个维度:文档质量(Doc)、代码质量(Code)、社区活跃度(Community)和近期更新(Activity),总分 25 分,并划分为精选(≥20)、已验证(≥12.5)、社区(<12.5)三档。
如何选择适合自己的工具?+
先看 tier(精选/已验证优先),再看 stars 和近期更新时间,最后看 install_hint 确认安装方式是否符合你的环境(npm/pip/go 等)。
这些工具支持哪些 AI 平台?+
大多数工具以 MCP 协议为标准,兼容 Claude、OpenClaw、Codex、Cursor 等主流 AI 平台。部分工具还提供 OpenAI Function / LangChain Tool 格式。
如何把自己的工具上榜?+
在 GitHub 发布你的工具,带上相关 topic(如 mcp-server、ai-agent-skills),Trove 的爬虫会自动收录并评分。也可以到 opentrove.ai/publish 主动提交。