Founders get automated AIOps with keep, a platform backed by 12k+ GitHub stars.
intermediate⏱ 1-2 hours💵 Free (self-hosted)
12,073 stars1,438 forksPythonQuality 8/10Updated 7/19/2026100% free · open source
What it is
You use it to manage and alert on monitoring data with automated rules.
What you can make with it
Automations like: detecting if a database is slow, and sending an email to the dev team with details on how to fix it.
How it helps
It helps developers streamline alerting and issue detection, so they can focus on fixing problems rather than sifting through false positives.
Real use case example
"A founder of a busy e-commerce platform could use keep to automatically detect when their database is slowing down, triggering an alert that goes straight to their dev team's Slack channel, allowing them to troubleshoot and resolve the issue quickly."
If you're new
This is a great skill to start with because it introduces basic automation concepts
If you're senior
A pro would choose this to integrate with their existing monitoring and alerting workflows, especially when self-hosted and integrated with open-source tools.
Common confusion cleared up
Keep is not just an alerting tool, but a full-featured AIOps platform.
Best inside these AI tools
Any AI ClientClaude DesktopCodex CLIContinue
Pairs with
Stripe webhookNotion databaseResend email service
Why we list it on WorkflowStacks: it's included because it's a widely used, open-source tool that offers significant cost savings compared to similar commercial products.
What it does
Keep is an open-source AIOps and alert management platform that automates monitoring and incident response for founders and DevOps teams.
Install / run
git clone https://github.com/keephq/keep.git && cd keep
When to use it
•When you need to automate alert handling and incident response for your application or service
•When you want to integrate with popular monitoring tools like PagerDuty, Splunk, or Prometheus
•When you need to streamline your DevOps workflow and reduce manual toil
Quick start
1Run `docker-compose up -d` to start the Keep services in detached mode
2Create a new user account by running `keepctl user create --username <username> --password <password>`
3Configure your monitoring integrations by editing the `config.yaml` file
4Define your alerting rules using the `keepctl rule` command, e.g. `keepctl rule create --name 'CPU Threshold' --query 'cpu_usage > 80'`
5Test your setup by triggering a sample alert with `keepctl alert trigger --rule 'CPU Threshold'`
Heads up: Make sure you have Docker and Docker Compose installed on your system before attempting to run Keep, as it relies on these tools to manage its services
Saves to your device
Topics
aiops
alarm
alarms
alerting
alerts
monitoring
monitoring-tool
python
python3
workflow-automation
What's inside — free to inspect
No purchase needed
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
18
top-level files
19
folders
88.2M
repo size
Other
license
Key files
.pre-commit-config.yaml
README.md
File tree
.cursor/
.github/
assets/
docker/
docs/
ee/
elk/
examples/
grafana/
keep/
keep-ui/
keycloak/
oauth2proxy/
otel-shared/
prometheus/
proxy/
scripts/
templates/
tests/
.dockerignore
.gitignore
.pre-commit-config.yaml
.python-version
CHANGELOG.md
Quick Actions
Details
Creator
keephq
Language
Python
Category
automation
Published
2/4/2023
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