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awesome-agentic-devops
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awesome-agentic-devops

Active·★ 84·MIT·Updated 2026-10-19

This repository serves as a curated map for agentic tools in DevOps, Cloud, SRE, and Platform Engineering, covering various agent frameworks and the Model Context Protocol (MCP). It rigorously evaluates listed agents for safety, utility, and production readiness in infrastructure automation, with continuous auditing for content freshness and accessibility.

#Agentic AI#DevOps#Cloud Engineering#SRE#Platform Engineering#Infrastructure Automation
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Guides
#Model Context Protocol
#AI Agents
$ Install
$ N/A
↗ Visit site★ GitHub
01

Features

01Curated map for agentic tools across various domains (DevOps, Cloud, SRE, Platform Engineering).
02Evaluates agents based on operational risk, human approval gates, tracing/evidence, and maturity.
03Automated auditing of links for reachability, archival, and freshness.
04Categorized catalog of official cloud, DevOps, security, CI/CD, IaC, SRE, and data platform MCP servers.
02

Compatibility

Agent Frameworks
Covered Frameworks
Verified via docs
Model Context Protocol (MCP)
Core Protocol
Verified via docs
Python
Development/Scripting
Verified via docs
TypeScript
Development/Scripting
Verified via docs
03

Quick start

1
$ N/A
04

Use cases

↳DevOps and platform engineers evaluating AI automation solutions.
↳SREs designing incident-response copilots and operational agents.
↳Cloud engineers comparing agent frameworks and integration capabilities.
↳Security reviewers assessing infrastructure-agent risks and controls.
05

Alternatives

⚡Top VS:
VSMisakaNet★543→VSfootball-docs★197→VSobsidian-mcp-tools★827→

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
VS
sample-okf-llm-wiki
★33
→
MisakaNet logo
MisakaNet★ 543
📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | https://misakanet.org
VSCompare→
football-docs logo
football-docs★ 197
Searchable football data provider documentation for AI coding agents. Like Context7 for football data.
VSCompare→
obsidian-mcp-tools logo
obsidian-mcp-tools★ 827
Add Obsidian integrations like semantic search and custom Templater prompts to Claude or any MCP client.
VSCompare→
sample-okf-llm-wiki logo
sample-okf-llm-wiki★ 33
Data Wiki turns data into portable knowledge bundles following Open Knowledge Format (OKF) and serves them to AI agents over the Model Context Protocol (MCP).
VSCompare→
nepa-mcp logo
nepa-mcp★ 18
PermitAI NEPA MCP Toolkit: MCP servers for federal environmental data, regulatory research, and geospatial screening to support permitting workflows.
VSCompare→
ai-agents logo
ai-agents★ 49
Multi-agent system for software development
VSCompare→
stashbase logo
stashbase★ 1.1k
Turn local files into searchable context for AI agents.
VSCompare→
floop logo
floop★ 26
Spreading activation memory for AI coding agents - corrections in, context-aware behaviors out.
VSCompare→
See all alternatives →
DevOpsAIguru123 /
awesome-agentic-devops
↗

Curated + scored map of official MCP servers and agents for DevOps, Cloud, SRE, and Platform Engineering — every entry rated on production access, approval gates, and audit evidence.

84MIT
Last commit4d ago
StatusActive
CategoryRAG / Knowledge Base
Links
Documentation↗Discussion↗Issues↗Releases↗
Cloud Infrastructure
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