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Schedule recurring and one-time jobs with retries, priorities, and dependencies.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agent-scheduler" yet — see the docs or source repo.
Create a daily data sync job that runs at 2:00 AM: fetch API data, then clean it and write it to the database. Retry up to 3 times on failure, set priority to high, and provide an example job configuration.
A runnable scheduled job configuration with timing, step dependencies, priority, and retry policy.
Create a one-time task to send a project launch reminder to a specified webhook next Monday at 9:00 AM. If the webhook times out, retry once after 10 minutes, and output the job definition.
A one-time job configuration including trigger time, notification action, and failure retry rules.
Design a job pipeline: first run a database backup, then compress the file and upload it to object storage only if the backup succeeds. Stop downstream jobs if any step fails, and set priorities and dependencies for each job.
A pipeline plan with job dependencies, execution order, failure handling, and priority settings.
Schedule reminders, delayed callbacks, and recurring jobs for AI agents.
Create, manage, and persist scheduled prompt jobs with optional execution notifications.
Run dependent or parallel agent tasks and return structured results in one call.
Schedule and run HTTP jobs with captured responses from your AI agent.
Orchestrate complex AI agent workflows with dependency handling, retries, and progress tracking.
Manage and monitor cron jobs with natural language through MCP.