AI agents for CircleCI
A Monmo agent works in CircleCI the way the engineer who looks after your build would. It explains why a workflow failed, finds the flaky tests that keep breaking main, proposes a faster config.yml and keeps an eye on which jobs use the most credits. It uses your own CircleCI token. Re-running, approving a hold job, triggering a pipeline and editing contexts wait for your approval.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
What agents do in CircleCI
Explain a failed workflow
When a workflow fails, it reads the failing step's output, finds the first real error, compares it with the last green run on the same branch and links the GitHub commit that changed things.
AskThe build-and-test workflow failed on main. What is the real error and what changed since it last passed?
Find flaky tests
Each Monday it reads the test results for the last 30 days, lists tests that both passed and failed on the same code, with how often, and drafts a Jira ticket for each one worth fixing.
AskEvery Monday, list the flakiest tests on main from the last 30 days and draft a ticket for the top five.
Speed up the config
It reads .circleci/config.yml and the timings of each job, then proposes caching, parallelism, test splitting, cached Docker Hub images or a different resource class, on a branch. Pushing the change asks first.
AskOur pipeline takes 22 minutes. Find the slowest jobs and propose a faster config.yml on a branch.
Summarise before you approve a hold
When a workflow stops at an approval job before deploying, it lists the commits, pull requests and test results going out, and drafts a note for Slack, so you can decide. Approving the hold always asks you first.
AskThe deploy-production workflow is on hold. Summarise what would ship and whether every test passed.
Watch credit use
On the first of the month it reads usage by project and workflow, finds the jobs that used the most credits and the ones that run when nothing relevant changed, in Google Sheets.
AskOn the 1st, show me which projects and jobs used the most CircleCI credits last month, and why.
Audit contexts and variables
It lists each context, the projects that use it and any security group restrictions, reporting variable names only, and flags contexts open to everyone that hold deploy keys. Changing them asks first.
AskWhich contexts hold production keys, and which projects can use them?
Keep orbs up to date
It lists the orbs each project uses with the version pinned, reads the changelog for newer versions, and prepares the upgrade on a branch with a note on what changes.
AskWhich orbs in our projects are more than one major version behind? Prepare the upgrades on branches.
How it connects
- 1You connect CircleCI with a personal API token from your own account. The token can do what you can do in your organisation's projects, so the agent's reach matches yours.
- 2You choose which agents may use CircleCI. An engineering agent needs it, and a data agent might read usage for a monthly report; nobody else needs your pipelines.
- 3Reading pipelines, logs, test results and usage happens without asking. Re-running or cancelling a workflow, approving a hold job, triggering a pipeline, editing a context or variable and pushing config ask 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 fix failing CircleCI builds?
It diagnoses the failure and prepares a change. The AI agent reads the failed step's output, compares it with the last passing run and, when the problem is in code or config.yml, makes the change on a branch on its own computer. Pushing the branch and re-running the workflow ask first.
Can it find flaky tests in CircleCI?
Yes. The agent reads test results over a period you choose, finds tests that pass and fail on the same code, ranks them by how often they break a build and drafts tickets in Jira or Linear. Fixing a flaky test is a code change, so pushing it asks first.
Will it approve hold jobs or trigger deploys?
Not without you. A hold job exists so a person decides, and the agent keeps it that way: it summarises what would ship and shows a card, and approves only when you allow it, through the CircleCI connection, or in its own browser when the connection does not cover something.
Can it reduce our CircleCI credit usage?
It can find where credits go and propose changes. The agent shows the heaviest jobs, workflows that run when unrelated files change and resource classes larger than needed, then prepares config changes on a branch. It cannot promise a figure, but each proposal says what it expects to change.