Observed arrival · 2026-10-07

Graveyard, a failure library for AI agents

usegraveyard.dev Visit website

Editorial interest 77/100 Selection signal · not a rating of the site

Graveyard proposes a version-pinned library where agents can check for verified failure cases before acting.

Landing page captured for the 2026-10-07 issue.

For: Teams building or operating AI agents
Worth noticing: Its verification model separates reproducible coding failures, browser-tested web flows, and human-attested cases.

Field notes

The proposed submission is structured around intent, failure, exact environment, and a reproduction recipe. Coding cases would run in fresh microVMs with exact versions; web flows receive confidence estimates, while non-reproducible cases may rely on reviewers from independent organizations. The homepage describes release-triggered rechecks and retirement, but currently directs visitors to a waitlist rather than an accessible query service.

Observed signals

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Editorial observations of this landing page, not a rating.

○OpenPublic substance visible

✦PrettyNotable craft visible

◎NicheUnusually specific use

ƒJavaScriptBrowser-side code central

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