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Vulcan, Alberta

Vulcan, Alberta: an article's history

Vulcan is a town of 1,769 people in southern Alberta, Canada. A surveyor for the Canadian Pacific Railway named it after the Roman god of fire, decades before Star Trek gave the same name to Spock's home planet, and the town now calls itself the official Star Trek capital of Canada.

A street map of southern Alberta, with Calgary at the top, the towns of Okotoks and High River along Highway 2, and Vulcan outlined in orange at the lower right, south-east of Calgary.

Vulcan, outlined at the lower right, on the prairie south-east of Calgary. Map © OpenStreetMap contributors.

Although the town is small, its English Wikipedia article has been edited 428 times since May 2002. This history holds what today's page no longer shows: claims that were added, questioned and later removed, and vandalism that was reverted within minutes.

Wikipedia keeps all of it, but only as a list of revisions. Finding when a claim first appeared, or why it disappeared, means opening revisions one at a time and comparing them by hand. Agent Memory turns that list into something an agent can ask questions of. Ask about the grain elevators, and it returns what every revision said about them, with the dates the article said it. The agent sees not only the article as it stands today, but 24 years of what it said and how that changed.

The demo asks agents 19 questions about the article and its history, with three Claude models and three ways to reach the article. It is a single demo on one article, meant to give a general idea of what Agent Memory adds, not a benchmark.

  • A larger model does not help when the answer is not in front of it. Most of the questions are about what the article used to say, and a larger model reading today's page does no better than a smaller one.

  • Reading the history helps, but the agent has to know where to look. An agent that can open old revisions does better, but it often reads today's page and stops, because nothing there shows that an older revision says something different.

  • Agent Memory gives the most accurate answers with every model. With the smallest model, it answers as accurately as the largest model reading the history, for less than half the cost.

Results has the scores and costs behind each of these.

A white model of the starship Enterprise on a tall stone pedestal, seen from below against a blue sky, with FX6-1995-A painted on each of its two engines.

The replica of the starship Enterprise in Vulcan, registration FX6-1995-A after the code of the town's airport, in April 2010. The article's sentence about the replica first appeared in November 2008 and has had nine wordings since, more than any other sentence on today's page. Its latest change was in September 2026. Photo by Kkiefuik, via Wikimedia Commons, CC BY 4.0.

The demo has three pages:

  • The article over time. The history that Agent Memory holds: every claim the questions ask about, with the dates it was on the page and the edit that removed it, and today's article shaded by how long each sentence has stood.

  • Results. Scores and costs for nine agents, three models with three sets of tools, and every answer to every question.

  • The answers side by side. Three questions answered in full by a small model with Agent Memory and a larger model reading the history, with what Agent Memory returned for each.

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