AI agent with scheduled tasks

Set up agents that run on a schedule, keep their cloud context, and deliver useful work automatically. Daily briefings, weekly reviews, monthly reports, and recurring operations all fit this pattern.

Start for Free Scheduling API

Native Scheduling

Run agents one time, daily, weekly, or on custom cron expressions without building your own scheduler.

Cloud Execution

Your agent runs in the cloud, so the workflow continues even when your laptop is closed.

Persistent Context

Files, context, and environment state stay available across recurring runs.

Completion Notifications

Send results to email, chat, or downstream systems when a scheduled task finishes.

Example recurring workflows

Daily Briefing

Every weekday at 7:00 AM

Research the latest AI news and send a morning summary by email.

Weekly Code Review

Every Friday at 5:00 PM

Review merged PRs from the week and prepare a technical summary for the team.

Competitor Monitoring

Every morning at 9:00 AM

Track product updates, pricing changes, and announcements across a watchlist.

Monthly Reporting

First day of the month

Generate analytics, write the summary, and deliver it to stakeholders automatically.

Why scheduled tasks matter

The value is not just “run later.” The value is recurring execution in the same agent system, with the same tools, files, and delivery path.

Recurring Automation

Daily research, weekly reports, monthly audits, recurring content generation, or any operational task that should happen without prompting every time.

Trigger + Schedule Combinations

Use schedules for time-based automation and webhooks for event-based execution. Combine both to build reliable operational workflows.

Agents That Keep Working

The point of scheduled tasks is not just timing. It is persistence: the same agent can keep building on files, prior outputs, and installed tools.

Delivery Built In

Send summaries, reports, or artifacts to inboxes and communication channels automatically when the run completes.

How it works

Define the recurring job

Describe the task once: generate a report, review changes, monitor competitors, or process incoming files.

Choose the schedule

Set it to run once, every day, weekdays only, weekly, or with a custom cron expression.

Run in the same cloud environment

The agent executes inside the same managed environment with access to files, packages, and secrets.

Receive the result automatically

Outputs are stored in the workspace and can also be sent to email, chat, or downstream APIs.

Benefits

No separate cron infrastructure to maintain
Runs while your devices are offline
Persistent files and execution context
Fits recurring reports and operational tasks
Combines with webhooks for more complex automation
Works for coding, research, content, and monitoring

Example agent prompt

You are a scheduled operations agent. ## Your job Run recurring workflows autonomously and produce clean, actionable outputs. ## Scheduling behavior - The task may run once or on a recurring cron schedule - Reuse the same workspace and files when relevant - Save outputs clearly with timestamps - If external notifications are configured, send a short summary on completion ## Output expectations - State what changed since the last run - Link or reference any files created - Surface blockers explicitly - Keep summaries concise and operationally useful ## Example recurring tasks - Daily market briefings - Weekly codebase audits - Scheduled content generation - Competitor and pricing monitoring - Inbox or CRM summaries

Build it

Use the scheduling API directly or combine schedules with triggers for more advanced automation.

Scheduler UI walkthrough

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An AI agent with scheduled tasks should keep working
even when you are not there.

That means cloud execution, persistent context, and a clean delivery path for the result. Computer Agents is built for exactly that pattern.

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