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

说明与用途

Agent Kernel 添加了内置调度器，使 AI 代理能够自动按计划执行任务，如提醒、报告和跟进，无需外部 cron 服务。

问题

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

结果

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.

工作流

• 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.

证据

Agent Kernel gives your agent a clock.

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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:

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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.

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

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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.

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