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Top 7 DevOps & Cloud AI Agents You Need in 2026

Discover the best DevOps & Cloud AI agents in 2026. Compare 7 top tools with features, GitHub stars, and real capabilities.

AI agents are transforming devops & cloud workflows in 2026. From autonomous coding to intelligent automation, these devops & cloud AI agents are leading the charge. Here are the top 7 you should try.

What Are DevOps & Cloud AI Agents?

DevOps & Cloud AI agents are autonomous software systems that can perform devops & cloud-related tasks with minimal human intervention. They leverage large language models (LLMs) to understand context, make decisions, and execute complex multi-step workflows.

The Best DevOps & Cloud AI Agents in 2026

1. Promptfoo — ⭐ 18,326 Stars

Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.

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2. Agentops — ⭐ 5,395 Stars

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

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3. Gaianet Node — ⭐ 5,007 Stars

Install, run and deploy your own decentralized AI agent service

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4. Learn Agentic AI — ⭐ 4,000 Stars

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

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5. Docker Agent — ⭐ 2,657 Stars

AI Agent Builder and Runtime by Docker Engineering

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6. Amazon Bedrock Agentcore Samples — ⭐ 2,511 Stars

Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

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7. Kite — ⭐ 2,435 Stars

🪁 A lightweight, modern Kubernetes dashboard that unifies multi-cluster and resource management, enterprise-grade user governance (OAuth, RBAC, and audit logs), and AI agents in one workspace. Not just a tool, but more like a platform.

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Why Use DevOps & Cloud AI Agents?

  • Productivity — Automate repetitive devops & cloud tasks and focus on high-value work.
  • Quality — AI agents can catch errors, suggest improvements, and maintain consistency.
  • Speed — Tasks that took hours can be completed in minutes.
  • 24/7 availability — AI agents work around the clock without breaks.

Explore our full AI Agents Directory to discover more tools for your workflow.

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