Last 30 Days: Summarize Anything From the Internet in the Past 30 Days

Last 30 Days is an open-source AI agent cluster that has been sitting near the top of GitHub's trending list for a while — and for good reason. You give it any topic, name, or keyword, and it pulls everything published about it across multiple platforms in the past 30 days, then hands you a clean HTML or PDF summary report.

What Does It Actually Do?

You type a subject — a person, a brand, a football club, a technology term — and the tool dispatches a group of AI agents to gather recent data from your chosen sources. A few minutes later you have a structured overview of what the internet has been saying about that subject over the last month.

A practical example from the video: you have a job interview coming up and want to know what the interviewer has been associated with lately. Enter their name, wait a few minutes, and you have a sourced briefing ready to go.

Sources

The tool ships with several default sources:

Reddit — community discussions and feedback
X (Twitter) — real-time trends and reactions
YouTube — video content and comments
TikTok — viral content
Web crawling — general websites

The defaults are functional but limited. You can expand the source list as far as full web crawling if you need broader coverage.

How to Use It

The repository lives at last30days/last30days on GitHub. There are two main ways to run it:

Inside your IDE: Clone the repo and run it from Visual Studio Code or a similar editor. Type your topic, let the agents work for roughly 3 minutes, then optionally convert the output to HTML. That formatting step takes another couple of minutes.
As an AI agent skill: Load it as a skill in a cloud-native AI application such as Claude. Setup takes about a minute and gives the agent live, up-to-date context on demand.

At the bottom of every report you'll find an "All Agents Reported Back" section listing every source that contributed — a useful transparency feature.

A Real-World Test

In the video the tool is run against a footballer's name. The resulting report surfaces transfer rumours, interested clubs, international team links, and World Cup-related coverage — all from the past 30 days, all with sources cited.

Who Is It For?

Content creators researching trends before publishing
Marketers monitoring a brand or competitor
Anyone who needs a quick background brief before a meeting or interview
Developers adding live, current-events context to AI agent workflows

Conclusion

Last 30 Days is a straightforward open-source tool that solves a genuine problem: getting a fast, multi-source summary of what the internet has said about something recently. It works out of the box, scales with custom sources, and plugs neatly into existing AI agent setups. Its sustained presence on GitHub's trending list suggests the developer community agrees it fills a real gap.