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homelab-monitor
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homelab-monitor

Active·★ 224·MIT·Updated 2026-10-22

HomeLab Monitor provides a single self-hosted page to overview your entire home lab and AI rig, including GPUs, containers, services, and disks, without requiring agents or cloud services. It answers critical questions like which model is using the GPU, which container consumes the most RAM, what's filling your disks, and if anything is down, across multiple machines via SSH.

homelab-monitor sits in the Observability category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Detailed GPU monitoring including VRAM, utilization, power, temperature, and identifying which container is holding the card.. A representative use case is Monitor the real-time status of your home lab and AI rig from a single dashboard.. The listed license is MIT. GitHub stars are currently 222. Relevant tags include Homelab Monitoring, GPU Utilization.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#Homelab Monitoring#GPU Utilization#Container Management#System Monitoring#SSH Agentless#AI Rig#Observability#Docker Compose
$ Install
$ curl -fsSLO https://raw.githubusercontent.com/SikamikanikoBG/homelab-monitor/main/docker-compose.yml && docker compose up -d
↗ Visit site★ GitHub
01

Features

01Detailed GPU monitoring including VRAM, utilization, power, temperature, and identifying which container is holding the card.
02Container health monitoring with separate columns for RAM and VRAM usage.
03Multi-machine monitoring over SSH for Linux, Raspberry Pi, and Windows, requiring no agents or installations on remote hosts.
04WizTree-style disk treemaps to visualize and identify disk space hogs.
05Built-in read-only MCP server to make your homelab legible to AI agents like Claude, providing 12 named tools for data access.
02

Why choose it

+Detailed GPU monitoring including VRAM, utilization, power, temperature, and identifying which container is holding the card.
+Container health monitoring with separate columns for RAM and VRAM usage.
+Monitor the real-time status of your home lab and AI rig from a single dashboard.
+Supports 5 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

Docker
Deployment
Verified via docs
Linux
Host OS
Verified via docs
Raspberry Pi
Host OS
Verified via docs
Windows
Host OS
Verified via docs
Python 3
Dependency
Verified via docs
05

Quick start

1
$ curl -fsSLO https://raw.githubusercontent.com/SikamikanikoBG/homelab-monitor/main/docker-compose.yml
2
$ docker compose up -d
06

Use cases

↳Monitor the real-time status of your home lab and AI rig from a single dashboard.
↳Identify which AI model server or container is currently utilizing your GPU resources.
↳Troubleshoot high RAM or disk space usage across different machines in your homelab.
↳Receive push alerts via Discord or ntfy.sh for critical events or service failures.
↳Allow AI agents to query and understand the live state of your homelab for automation or intelligent decision-making.
07

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07Alternatives
SikamikanikoBG /
homelab-monitor
↗

Plug-and-play homelab dashboard in one container — GPU, local-AI VRAM, Docker, systemd, host health. Built-in read-only MCP server so AI agents can explore it too.

224MIT
Last commit1d ago
StatusActive
CategoryObservability
Links
Documentation↗Discussion↗Issues↗Releases↗
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