watchers

Automated monitoring of RSS feeds and GitHub repositories detects new items by polling external sources at scheduled intervals. It uses a persistent watermark system to track the last seen item, ensuring you only receive notifications for genuinely new content without redundant alerts.

A watermark system for monitoring APIs and feeds is a stateful tracking mechanism that records the timestamp or identifier of the most recent item processed. It prevents duplicate notifications by comparing new poll results against the saved watermark to surface only unseen entries.

You can track new GitHub issues and releases without manual checks by setting up automated polling against the repository. The script fetches repository activity at regular intervals and summarizes new items, using stateful deduplication to prevent redundant notifications.

You do not need external dependencies to monitor JSON APIs and RSS feeds in Python. The monitoring script requires only standard Python libraries to execute HTTP requests and process structured data formats.

To prevent duplicate notifications when polling external data sources, the monitoring script uses a persistent watermark and built-in deduplication. This stateful tracking ensures the agent only alerts you to new items that appear after your last checkpoint.