AgentIndex icon
AgentIndex
keep logo
keep
★ 12.4k
vs
homelab-monitor logo
homelab-monitor
★ 224

keep vs homelab-monitor

keep: Keep is an open-source AIOps and alert management platform designed to unify all your alerts and incidents. It offers a single pane of glass for alert deduplication, enrichment, filtering, correlation, and bi-directional integrations with various monitoring tools.; homelab-monitor: 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.

01

TL;DR

keep logo
keepObservability · ★ 12.4k

Centralizing and managing alerts from diverse monitoring systems.

Read keep full review →
homelab-monitor logo
homelab-monitorObservability · ★ 224

Monitor the real-time status of your home lab and AI rig from a single dashboard.

Read homelab-monitor full review →
02

Side-by-Side Comparison

Field
keep logokeep
homelab-monitor logohomelab-monitor
Category
Observability
Observability
Stars
★ 12.4k
★ 224
License
NOASSERTION
MIT
Install Command
git clone https://github.com/keephq/keep.git
curl -fsSLO https://raw.githubusercontent.com/SikamikanikoBG/homelab-monitor/main/docker-compose.yml && docker compose up -d
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AIOps, Alert Management, Incident Response
Homelab Monitoring, GPU Utilization, Container Management
03

Features

keep logokeep
01Single pane of glass for all alerts and incidents with customizable UI.
02Comprehensive alert processing including deduplication, correlation, filtering, and enrichment.
03Deep bi-directional integrations with monitoring tools and customizable workflows.
04Automation capabilities, akin to GitHub Actions, for monitoring tasks.
05AIOps 2.0 with AI-powered correlation and summarization for incidents.
homelab-monitor logohomelab-monitor
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.
04

Use Cases

keep logokeep
↳Centralizing and managing alerts from diverse monitoring systems.
↳Automating incident response workflows and reducing alert fatigue.
↳Leveraging AI for intelligent alert correlation and incident summarization.
homelab-monitor logohomelab-monitor
↳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.
05

Best For

keep logokeep
Most PopularEssentialTrending
homelab-monitor logohomelab-monitor
—
FAQ

FAQ

What is the difference between keep and homelab-monitor?
Both keep and homelab-monitor are in the Observability category. keep has 12.4k stars, while homelab-monitor has 224 stars.
Which is better, keep or homelab-monitor?
The best choice depends on your use case. Choose keep if Centralizing and managing alerts from diverse monitoring systems., and homelab-monitor if Monitor the real-time status of your home lab and AI rig from a single dashboard..
Is keep free or open source?
Yes, keep is open source on GitHub (NOASSERTION).
Is homelab-monitor free or open source?
Yes, homelab-monitor is open source on GitHub (MIT).
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