Best AI DevOps Agents 2026
Published 2026-10-10 · Data from nerq.ai · Updated hourly
DevOps is where AI agents deliver the most immediate value — automating deployments, managing infrastructure, and resolving incidents autonomously. We ranked all 11,634 DevOps and infrastructure agents in the Nerq index by Trust Score to identify the most production-ready tools.
Top 5 — in detail
1. IBM/mcp-context-forge — agent
A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API end
Trust: 82.4/100 (A) · GitHub · 3,477 stars · full report
2. vstorm-co/full-stack-fastapi-nextjs-llm-template — agent
Full-stack template for AI/LLM apps: FastAPI backend + Next.js frontend, optimized for PydanticAI, LangChain, LangGraph, CrewAI, or DeepAgents agents—with type-safe tools, WebSocket streaming, convers
Trust: 82.2/100 (A) · GitHub · 585 stars · full report
3. SmythOS/sre — agent
The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular, and production-ready, it lets developers build, run, and manage intelligent agents across
Trust: 81.9/100 (A) · GitHub · 1,232 stars · full report
4. stacklok/toolhive — MCP server
ToolHive makes deploying MCP servers easy, secure and fun
Trust: 81.1/100 (A) · GitHub · 1,610 stars · full report
5. mikeyobrien/ralph-orchestrator — agent
An improved implementation of the Ralph Wiggum technique for autonomous AI agent orchestration.
Trust: 81.0/100 (A) · GitHub · 2,379 stars · full report
Full ranking — top 15
| # | Name | Type | Score | Grade | Source | Stars |
|---|---|---|---|---|---|---|
| 1 | IBM/mcp-context-forge | agent |
82.4 | A | GitHub | 3,477 |
| A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applicat... | ||||||
| 2 | vstorm-co/full-stack-fastapi-nextjs-llm-template | agent |
82.2 | A | GitHub | 585 |
| Full-stack template for AI/LLM apps: FastAPI backend + Next.js frontend, optimized for PydanticAI, LangChain, LangGraph, CrewAI, or DeepAgents agents—with type-safe tools, WebSo... | ||||||
| 3 | SmythOS/sre | agent |
81.9 | A | GitHub | 1,232 |
| The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular, and production-ready, it lets developers build, run, and manage in... | ||||||
| 4 | stacklok/toolhive | MCP server |
81.1 | A | GitHub | 1,610 |
| ToolHive makes deploying MCP servers easy, secure and fun | ||||||
| 5 | mikeyobrien/ralph-orchestrator | agent |
81.0 | A | GitHub | 2,379 |
| An improved implementation of the Ralph Wiggum technique for autonomous AI agent orchestration. | ||||||
| 6 | williamzujkowski/strudel-mcp-server | MCP server |
80.3 | A | GitHub | 158 |
| A Model Context Protocol (MCP) server that gives Claude direct control over Strudel.cc for AI-assisted music generation and live coding. | ||||||
| 7 | modelcontextprotocol/java-sdk | tool |
80.1 | A | GitHub | 3,216 |
| The official Java SDK for Model Context Protocol servers and clients. Maintained in collaboration with Spring AI | ||||||
| 8 | a2aproject/a2a-samples | agent |
79.9 | B | GitHub | 1,339 |
| Samples using the Agent2Agent (A2A) Protocol | ||||||
| 9 | microsoft/azure-devops-mcp | agent |
79.7 | B | GitHub | 1,291 |
| The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents. | ||||||
| 10 | opal | agent |
79.6 | B | GitHub | 5,422 |
| OPAL is an open policy administration layer for managing and distributing policies in real-time. | ||||||
| 11 | GoogleCloudPlatform/agent-starter-pack | agent |
79.5 | B | GitHub | 5,761 |
| Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability. | ||||||
| 12 | pydantic/logfire | agent |
79.5 | B | GitHub | 4,040 |
| AI observability platform for production LLM and agent systems. | ||||||
| 13 | snyk/agent-scan | agent |
79.5 | B | GitHub | 1,981 |
| Security scanner for AI agents, MCP servers and agent skills. | ||||||
| 14 | samples | agent |
79.5 | B | GitHub | 638 |
| A collection of samples for building AI agents using the Strands Agents SDK. | ||||||
| 15 | laravel/mcp | MCP server |
79.4 | B | GitHub | 679 |
| Rapidly build MCP servers for your Laravel applications. | ||||||
How we rank
Rankings are based on the Nerq Trust Score (0-100), a composite metric covering:
- Security (30%) — vulnerability audit, dependency safety
- Maintenance (25%) — commit recency, release cadence
- Popularity (20%) — stars, downloads, community
- Documentation (15%) — README, API docs, examples
- Ecosystem (10%) — protocol support, integrations
Scores update continuously as new data is crawled. These rankings reflect live data from the Nerq index of 11,634 devops agents.
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