AI agents for DigitalOcean
A Monmo agent works in DigitalOcean the way a careful part-time ops engineer would. It keeps an inventory of Droplets, databases and Spaces, reads App Platform logs when a deploy fails, splits the bill by project and spots resources nobody uses. It works with the access token you create, and asks before it resizes, snapshots, edits DNS or destroys anything.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
What agents do in DigitalOcean
Explain a failed App Platform deploy
When a build or deploy fails, the agent reads the build and runtime logs, finds the commit in GitHub that introduced the problem and writes what broke and the likely fix. Redeploying waits for you.
AskThe api component on App Platform failed to deploy an hour ago. Tell me why and what we should change.
Break down the monthly bill
On the 2nd of each month it reads the invoice and usage, groups Droplets, Managed Databases, Spaces and bandwidth by project, and compares each line with the month before in Google Sheets.
AskOn the 2nd of every month, split last month's DigitalOcean bill by project and flag anything that grew by more than a fifth.
Find idle and forgotten resources
It lists Droplets that have sat near zero CPU for weeks, volumes attached to nothing, old snapshots and reserved IPs with no Droplet behind them, each with its monthly cost. Destroying any of them asks first.
AskFind Droplets, volumes and snapshots nobody has touched in 60 days, and tell me what each one costs us a month.
Size a Droplet from its graphs
Ask whether the worker Droplet needs more memory and it reads 30 days of monitoring graphs, recommends a size and explains what the resize involves, including the power-off and the new price. Resizing waits on a card.
AskDoes the worker-02 Droplet need more memory? Look at the last month of graphs and recommend a size.
Review firewalls and open ports
It reads each Cloud Firewall and the Droplets it covers, lists ports open to every address, such as SSH or a database port, and suggests a tighter rule for each. Changing a rule asks first.
AskCheck our Cloud Firewalls and tell me which Droplets have SSH or Postgres open to the whole internet.
Keep DNS records tidy
For domains whose DNS lives in DigitalOcean rather than Cloudflare, it lists the A, CNAME and TXT records, flags any that point at addresses you no longer use and prepares the edits for your approval.
AskList DNS records on our domains that point at IPs we no longer own, and prepare the fixes for me to check.
Explain an alert before you open the console
When a CPU, memory or disk alert fires, it reads the graph, checks what was deployed around that time and drafts a two-line explanation for your ops channel in Slack. Posting it asks first.
AskWhen a DigitalOcean monitoring alert fires, work out the likely cause and draft a note for #ops.
How it connects
- 1You create a personal access token in the DigitalOcean control panel for your team, read-only or with only the scopes you choose, and connect it once. On a shared team, the owner may have to create it.
- 2Give DigitalOcean to your engineering agent. A finance agent that reviews the bill can share a read-only connection; your other agents have no reason to see your infrastructure.
- 3Listing resources and reading logs, graphs and invoices happen without asking. Creating, resizing, powering off, snapshotting or destroying a Droplet, and every firewall or DNS edit, waits on a card.
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 DigitalOcean Droplets?
Yes, with you approving each change. A Monmo agent lists your Droplets, reads their monitoring graphs and recommends resizes, snapshots or clean-ups. A power-off, resize, snapshot or deletion each shows a card with the Droplet, the change and the expected cost, and happens through the DigitalOcean connection, or in its own browser when the connection does not cover something, once you allow it.
Should I give an AI agent a read-only DigitalOcean token?
Start with read-only. A read token lets the agent take an inventory, read logs and explain the bill, which covers most of what people ask for. When you want it to apply changes as well, create a token with just those scopes. Even then, every write waits for your approval on a card.
Can it help lower our DigitalOcean bill?
An AI agent can show you where the money goes and what looks unused, which is usually where savings are found. You get idle Droplets, unattached volumes, old snapshots and oversized databases listed with their monthly cost. Whether to remove or shrink each one is your call, and nothing is destroyed until you allow it.
Can the agent fix a failed App Platform deploy?
It finds the cause and prepares the fix. The agent reads the build and runtime logs, matches the failure to a commit in GitHub and drafts the change as a pull request. Merging and redeploying both ask first, so production changes only when you say so.