AI agents for Docker Hub
A Monmo agent works in Docker Hub the way a platform engineer who keeps the registry clean would. It reviews vulnerability results on your latest tags, prepares base image updates in the Dockerfile, explains what changed between two tags, and lists old tags and unused tokens for clean-up. It uses the token you connect, and pushing, deleting or changing access always asks first.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
What agents do in Docker Hub
Review image vulnerabilities
Each Monday it reads the vulnerability results for the latest tag in each repository where image analysis is on, ranks critical and high findings, checks whether a newer base image fixes them and drafts a summary for Slack.
AskEvery Monday at 9, list critical and high vulnerabilities in our latest tags and say which a base image update would fix.
Prepare a base image update
It edits the Dockerfile on a branch in GitHub or GitLab to move to the patched base image, notes anything that might break, and lets your CI build and test it. Pushing the branch asks first.
AskMove the api image to the current patched Node base image on a branch, and tell me what might break.
Explain what changed between tags
Ask what is different between 1.8.2 and 1.9.0. It compares the image layers, size, base image and the commits behind each tag, and answers in a few lines.
AskWhat changed between web:1.8.2 and web:1.9.0, and why is the new one 200 MB larger?
Tidy old tags
Once a month it lists tags not pushed or pulled in 180 days, keeping anything a running deployment still uses, and proposes them for deletion on one card. Deleting asks first.
AskList tags in the worker repository not pulled in six months, and propose which are safe to delete.
Check access and tokens
It lists which teams and members can write to each repository and which access tokens have not been used for months, so you can decide what to remove. Revoking or changing access asks first.
AskWho can push to our production images, and which access tokens have not been used since summer?
Set up a repository webhook
When a new image should trigger a deploy or a message, it prepares the webhook for the repository with the address your system expects. Creating the webhook asks first.
AskPrepare a webhook on the api repository that notifies our deploy service whenever a new tag is pushed.
Diagnose pull rate limit failures
When CI fails with too-many-requests errors, it reads the build logs, confirms whether the pull rate limit is the cause and suggests authenticated pulls or caching the images in your pipeline.
AskOur CircleCI builds fail with toomanyrequests when pulling images. Is it the rate limit, and what should we change?
How it connects
- 1You connect Docker Hub with an access token from your own account or your organisation. Give the token only the scope the work needs: read-only for reports, and delete only if the agent should clean up tags.
- 2You choose which agents may use Docker Hub. An engineering agent needs it; no agent outside engineering should be able to push or delete images.
- 3Reading repositories, tags, vulnerability results and team membership happens without asking. Pushing an image, deleting a tag or repository, changing visibility, creating a webhook or changing access asks first.
More in Developer and IT
Other apps of this kind that agents work in, each with its own page.
Questions people ask
Can an AI agent manage Docker Hub repositories?
It can look after them with you. The AI agent reviews vulnerabilities, compares tags, lists clean-up candidates and checks who has access, then prepares each change for your approval. It works through the Docker Hub connection, or in its own browser when the connection does not cover something.
Will it delete images or tags without asking?
No. Deleting a tag or a repository cannot be undone, so the agent lists every tag it proposes to remove, with when it was last pushed and pulled, and waits for you. You can untick any line, and tags a running deployment still uses are left off the list.
Can it fix vulnerabilities in our images?
It can prepare the fix. Most findings come from the base image or a package, so the agent proposes the newer base image or package version in the Dockerfile, on a branch, with a note on what might break. Your CI builds and tests it, and pushing asks first.
Can it tell what changed between two image tags?
Yes. The agent compares the two tags' layers, sizes and base images, links each to the commit it was built from, and explains in plain words what changed and why the image grew or shrank. That is reading, so it needs no approval.