Scheduled Tasks in Agent Kernel: Work That Runs Without Anyone Asking

Description and use

Agent Kernel adds a built‑in scheduler that lets AI agents automatically run tasks on a schedule—reminders, reports, follow‑ups—without external cron services.

Problem

AI agents can answer questions but lack autonomous scheduling, so routine tasks like reminders, reports, and follow‑ups must be manually triggered.

Outcome

Agents now autonomously perform routine tasks such as reminders, recurring reports, customer follow‑ups, and unattended operations without external schedulers, improving reliability and reducing engineering overhead.

Workflow

• 1. User sends a chat message with a natural‑language scheduling intent, e.g. "Every weekday at 8am in Asia/Colombo, remind me to review the overnight alerts."
• 2. Agent parses the intent, determines the rhythm, and books the schedule.
• 3. Agent confirms booking to the user.
• 4. At the scheduled time, the agent executes the task as if a user had typed the command, with all normal guards, logging, and tracing.
• 5. Users can list, amend, pause, or cancel scheduled tasks via chat.
• 6. In production, managed timers and durable storage ensure persistence across restarts.

Evidence

Agent Kernel gives your agent a clock.

Source

Your users do not file a ticket. They do not learn cron syntax. They do not wait for an engineer. They just say what they want, the way they would say it to a colleague:

Source

Turn scheduling on and every agent quietly gains the ability to manage its own calendar of work: creating a schedule, listing what it has booked, amending a time, pausing something, cancelling it outright.

Source

Nothing gets a second‑class path. The agent never finds out it was scheduled.

Source

Start on a laptop with everything running inside a single process, nothing to stand up. When you go to production on AWS, managed timers and durable storage take over, so nothing is forgotten when a container restarts.

Source