Feeds structured for your agent

FeedContext turns RSS feeds into agent-ready context through an installable skill. It gives agents structured Feed Items they can retrieve, filter, and cite instead of working from pasted snapshots or one-off web visits.

Agents create more value when they can work from a maintained context layer instead of starting each task from scratch. FeedContext keeps feed context available in an agent-optimized format, so agents can turn ongoing sources into briefings, research inputs, monitoring workflows, and cited writing.

An RSS reader is for humans browsing feeds. An AI news reader usually tries to make the final news product. FeedContext is an agent-facing context layer: it organizes RSS Feed Items so agents can use them as working material.

FeedContext gives agents agent-optimized Feed Item formats plus service-side filters such as source, time range, item fields, subscription state, and simple content search. That narrows the candidate set before the agent applies task-specific judgment.

No. FeedContext can provide organized data and precise retrieval tools, but it does not own the agent's final selection, judgment, synthesis, or artifact. The agent decides what matters for the current task.

Yes. FeedContext is designed for source-backed context. Feed Items may include original URLs and readable content that agents can use as traceable evidence when composing briefings, research summaries, or other artifacts.