Sevenbox Wants to Preserve Why an AI Agent Believed Something

Field notes

Sevenbox models each agent decision as a Warrant: a claim tied to the specific prior claims that support it, along with whether acting on it can be undone. The site’s example involves a fraud check arriving after a refund, with the later finding superseding an eligibility claim and triggering a causal search for resulting obligations. It positions the library beneath an existing stack and says it has been tested against 14 agent frameworks, while remaining closed to general access.