Some agents don't wait for someone to tell them to run. A price monitoring agent needs to check every hour. A nightly report agent needs to fire at 2am. A sync agent needs to run every 15 minutes whether or not anyone's at a keyboard.
Manual triggers don't work for this. You'll forget. The person who remembers leaves the company. It works fine until the day it matters and you were in a meeting.
That's what recurring tasks are for.
What a Recurring Task Actually Is
A recurring task re-creates itself on a schedule. You configure it once — the agent, the inputs, the frequency — and it keeps firing without anyone touching it.
It's different from a cron job in one important way: the agent is the executor. You're not running a shell script on a timer. You're telling an AI agent to pick up a specific task at a specific interval and produce a specific output.
That distinction matters because the task has structure. It has a status. It has output. It can fail, get retried, or go to a review queue. You can see its history. You can compare the output from Monday's run to Tuesday's.
A cron job that silently fails is invisible. A recurring task that fails shows up in your AgentCenter dashboard.
When to Use Recurring Tasks
Not every agent workflow needs a schedule. A one-off analysis, a triggered action, a response to an external event — those don't fit here.
Use recurring tasks when the agent has to run regardless of whether anyone asks it to. Good candidates:
- Monitoring agents — check a feed, a metric, a competitor page, or a data source
- Sync agents — pull from an API and write to a database on a fixed interval
- Report agents — generate a daily, weekly, or hourly summary
- Cleanup agents — expire stale records, archive old tasks, clear queues
- Validation agents — verify a pipeline produced expected output before downstream work starts
A useful test: if this agent didn't run for 24 hours, would something break? If yes, it probably needs a recurring task.
How to Set Up a Recurring Task in AgentCenter
Recurring task automation is available on Pro and Scale plans. Setup takes about 5 minutes.
Step 1: Create a task template
In your AgentCenter project, create a new task. Fill in the title, description, and any fixed input fields the agent needs on every run. This becomes the template each scheduled run copies.
Step 2: Turn on recurrence
Open the task settings and find the Recurrence section. Set the interval — hourly, every N hours, daily at a specific time, or a custom cron expression. AgentCenter shows a plain-English label so you can confirm the schedule before saving.
Step 3: Assign the agent
Pick the agent that handles this task type. Each new run routes to that agent automatically. If the agent is offline when a run triggers, the task waits in queue rather than silently skipping.
Step 4: Set success criteria
Define what a successful run looks like. You can require a minimum output length, a specific field to be present, or link the task to an approval step if the output needs human sign-off before the next run starts. This is the step most teams skip — and the one that catches the most problems.
Step 5: Save and monitor
Once saved, the first run fires at the next scheduled time. Every run creates a new task card visible in the Kanban board. You can see the full run history, compare outputs side by side, and get alerted if a run fails or produces output outside the expected range.
A Real Example: Nightly Content Audit Agent
One team runs 3 content publishing agents. Every night at midnight, a fourth agent — the auditor — checks the previous day's output and flags anything below a quality threshold.
Without a recurring task, someone had to kick off the auditor manually. It ran about 60% of nights. The other 40%, bad output sat unreviewed for days before anyone noticed.
After setting up a recurring task, the auditor runs every night at midnight, compares output against the quality rubric, and creates a review task if anything fails. The human sees it in the morning. No one has to remember to start it.
Looking at 4 weeks of run history also revealed something they hadn't noticed: quality failures clustered on Monday nights, right after weekend publishing sessions. That pattern was invisible when the auditor ran inconsistently.
Common Mistakes
Running too frequently. A recurring task that fires every 5 minutes for a task that takes 4 minutes to complete will overlap itself. Either the second run starts before the first finishes, or you build a backlog of queued runs. Check your agent's average runtime before setting the interval.
No failure handling. If a run fails, what happens next? Does the schedule continue or pause? Does anyone get notified? Most teams configure a recurring task and never touch the failure path. At minimum, set an alert and decide whether failures should halt the schedule.
Using the same task for variable inputs. Recurring tasks work best when inputs are fixed or generated at runtime. If you're manually editing the input fields before each run, you're not using a recurring task — you're just creating tasks manually on a schedule. Parameterize the inputs or have the agent fetch them at the start of each run.
Skipping the run history. The value of recurring tasks isn't just automation — it's the history. Agents change behavior over time. Prompts drift. Data sources shift. Looking at the last 30 runs of a monitoring agent is how you catch that before it causes a real problem.
Bottom Line
Recurring tasks turn always-on agent workflows from "someone has to remember" into actual infrastructure. The setup in AgentCenter takes about 5 minutes. The value compounds over time as the output becomes comparable, reviewable, and auditable across runs.
If you have agents that need to run on a schedule, stop keeping them on manual triggers.
The best time to set this up is before your agents start failing. Try AgentCenter free for 7 days — cancel anytime.