zw008

zw008 / VMware-AIops

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VMware vCenter/ESXi AI-powered monitoring and operations. Two skills: vmware-monitor (read-only, safe) and vmware-aiops (full operations) | Claude Code Skill

13
1
100% credibility
Found Mar 02, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An AI-powered VMware vCenter/ESXi monitoring and operations tool that integrates with various AI CLI agents via pyVmomi for vSphere API interactions, supporting inventory listing and compatible with vSphere versions 6.5 to 8.0.

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AI-Generated Review

What is VMware-AIops?

VMware-AIops is a Python tool that connects to ESXi VMware vCenter servers via the vSphere API, letting you query inventory, monitor alarms/events, and run VM operations like power on/off, snapshots, clones, and vMotion. It solves manual ops drudgery in VMware environments by offering a CLI for tasks such as listing VMs/hosts/datastores or scanning logs for issues, plus a daemon for scheduled alerts via webhook. AI integrations turn natural language into actions, like "power on my VM" in Claude Code or Gemini CLI.

Why is it gaining traction?

It stands out with built-in safety like double confirmations on destructive ops, dry-run previews, and full audit logs, plus broad VMware ESXi vCenter compatibility from 6.5 to 8.0U3—no manual tweaks needed. The hook is seamless AI agent support (Claude, Gemini, Aider) and standalone CLI, with notifications to Slack/Discord. Multi-target configs and vSAN/Aria AIops queries make it practical for real VMware vCenter ESXi setups.

Who should use this?

VMware admins troubleshooting vCenter ESXi host not responding issues or checking alarms on prod clusters. Homelab users managing standalone ESXi for quick VM lifecycle tasks. DevOps folks integrating VMware ops into AI workflows via MCP or skills.sh for github vmware license key-free automation.

Verdict

Early project with 12 stars and 1.0% credibility score signals low maturity—test in non-prod first, despite solid docs and MIT github vmware license. Worth a spin if you need AI-powered VMware AIops without custom scripting.

(198 words)

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