I built Versentry to scratch my own itch: I run Docker across several self-hosted boxes and wanted to know when images have updates - without anything auto-pulling or restarting my containers behind my back.
Before that, I used WUD, but at the time Versentry was created, it didn’t have a proxy for Telegram notifications, which was the impetus. As a result, I ended up with a micro‑service that fully meets my needs.
What it does: reads running containers from the local Docker socket, compares their tags and digests against OCI registries, and sends a notification when something's newer. It never pulls images or touches containers. That's the whole point - notify-only by design.
A few things that set it apart:
- Central tag-filter rules in config (regex by image repo), so you're not forced to label every container. Per-container
versentry.includelabels also work if you prefer them. - Built-in proxy (SOCKS5/HTTP) for notifier delivery and registry traffic - handy behind network restrictions.
- Any OCI registry - Docker Hub, GHCR, Quay, GitLab out of the box; private/self-hosted via
type: oci. - Notifiers: stdout, Telegram, Discord, Gotify, ntfy, and a generic webhook.
- Readable notifications out of the box - sensible default messages, no template-wrangling required; Go
text/templateoverrides are there if you want to customize. - semver/numeric detection (cross-major updates get flagged) plus digest comparison for floating tags like
latest. - Tiny ~5 MB scratch-based image, MIT licensed.
It's probably not for you if you need: a web UI (try WUD), automatic pull-and-restart (that's Watchtower's job), non-Docker providers like Kubernetes/Podman (Diun covers more), or Slack/email as first-class notifiers.
It's a young project - fewer battle-tested deployments than the established tools - so I'd genuinely welcome feedback from anyone who runs it.
GitHub: https://github.com/BlackRaincoat/versentry
AI Disclosure:
- Design - Pair
- Implementation - Generated
- Testing - Assisted
- Documentation - Generated
- Review - Assisted
- Deployment - Generated
Note: The idea, the architecture decisions, and all real-world testing were mine - I ran it across multiple live servers and that's what caught the actual bugs. The AI wrote the implementation, the test code, docs, and CI config from my prompts. I reviewed behavior on real deployments rather than reading every line, so code-level review leaned on the AI.
Thanks, that's a genuinely nice way to look at it. The grafana tally is a cool setup - piping update status into the rest of your monitoring makes a lot of sense. I'll definitely poke at dockcheck to see how it does things. Cheers!