Tag: #devops
19 packages • ⭐ 8,052 total stars
An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool call
SRE Agent - CNCF Sandbox Project
Published in CNCF Landscape: A MCP server for Kubernetes.
A Model Context Protocol (MCP) server that enables AI agents and LLMs to query and analyze Prometheus metrics through standardized interfaces.
MCP server for Coolify — 38 optimized tools for managing self-hosted PaaS through AI assistants
High-fidelity, anycloud emulators running in your laptop. For DevOps programming, testing, and simulation.
🔥 Lightweight, Airbrake/Sentry-compatible, PostgreSQL-based Open Source Error Catcher
All-in-one Kubernetes SDK: create, manage, and operate clusters across distributions (Kind, K3d, Talos, VCluster) with built-in GitOps, secrets, AI assistant, and MCP server. Only requires Docker.
3-tier agentic ChatOps (n8n + GPT-4o + Claude Code) implementing all 21 patterns from "Agentic Design Patterns" — solo operator managing 137 devices
Command Line telepathy. An Autonomous Al Agent for your Terminal that turns intent into Execution (Windows/Linux/Mac)
A static MCP server that provides AI models with persistent tool context, preventing context loss between chats.
Showcase 39 validated OpenClaw AI use cases in Chinese to help users automate tasks and improve daily work and life efficiently.
Autonomous multi-agent system that turns tasks into code, PRs, and self-healing workflows
A deterministic development harness for Claude Code — MCP workflow engine, enforcement hooks, YAML workflows, and multi-agent consensus (Claude + Codex + Gemini)
Agency-grade Discord MCP server — multi-guild project routing, AI-native notifications, and DevOps workflows for Claude Code and other AI agents
🦞 [2026.03.10] Hardened OpenClaw deployment on a single VPS: one command, production-ready.
🛡️ Enable secure, read-only SSH access for LLM agents to audit servers, run diagnostics, and inspect logs without risking data changes.
🤖 Automate coding, testing, and deployment with a local AI environment powered by a team of intelligent agents.
Build and run local AI agents with multi-model support, modular skills, secure controls, and multi-channel access for personal automation tasks.