Kangaroo Bot
The crawler for Kangaroo LLM, an Australian project building an open-source model trained on Australian web content.
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What Kangaroo Bot does
Kangaroo Bot collects text from Australian websites for the VegeMighty dataset, intended to train Australia's first open-source language model with a proper grip on Australian English. The project announced a robots.txt opt-out and monthly scrubbing of opted-out data, though the crawl was reportedly paused over legal and privacy concerns and the project publishes little formal crawler documentation.
Why it visits your site
Australian-hosted or .au sites with vernacular-rich content - forums, news, education - are its stated targets.
The bigger picture: AI training crawlers
Training crawlers are the most economically lopsided visitors your server has. A search crawler takes your content and pays you back in ranked listings and click-throughs; a training crawler takes the same content to improve a commercial model and, by design, sends nothing in return. The visit itself is the entire transaction. That asymmetry is why training bots - not AI in general - are where most of the blocking debate actually lives, and why the publishing industry's response has split between refusal and negotiation: several large publishers block these crawlers outright, while others have signed licensing deals with the same operators. Both strategies start from the same place - knowing, concretely, how much of your archive is being read and by whom.
The norms here are young and still hardening. The better operators now publish user agents, IP ranges, and opt-out tokens, and honor robots.txt; others publish nothing and, by widely credited reports, crawl through disallow rules. Treat each crawler on its record rather than assuming the category behaves uniformly - and remember that a robots.txt line only ever governs the polite end of the spectrum.
Should you block it?
Non-Australian sites will rarely see it. Australian site owners face the standard training-crawler question with a local-goodwill twist: the resulting model is meant to be open source. If that doesn't move you, add the Kangaroo Bot token to robots.txt, as the project itself suggests.
Block via robots.txt
Add these lines to the robots.txt at your site root to ask Kangaroo Bot to stay away:
User-agent: Kangaroo Bot Disallow: /
Remember that robots.txt is a request, not a lock - compliance is voluntary, and enforcement happens at the server. Viz's AI Control pairs robots.txt rules with server-level 403 responses and then probes your site to verify the block is actually holding.
How to see Kangaroo Bot traffic on your site
You have three windows onto it, each with a catch. Raw hosting access logs contain every Kangaroo Bot request, but many managed WordPress hosts don't expose them, and when they do you are grepping text files by hand. A CDN dashboard sees the traffic at the edge, but it lives outside WordPress and speaks in totals, not in your site's terms. And JavaScript analytics - GA4 and friends - will never show it at all, because Kangaroo Bot doesn't run scripts.
Viz's answer is the request log: filter to Kangaroo Bot and read exactly which URLs it fetched and when, right inside wp-admin - then watch the same filter after any blocking decision to see whether the visits stopped, slowed, or kept coming.