Most knowledge systems store facts. Veritas stores how well you know them . I built Veritas because AI agents have an epistemic blind spot: they act on beliefs they can't evaluate. "The API is reliable" — based on what? One observation from 2022? Twenty independent tests from last month? A single assumption that everything else depends on? Without structure, agents overclaim certainty or collapse into paralysis. Veritas gives beliefs a shape. Confidence is a vector, not a number Every claim in Veritas carries a ConfidenceVector with four components: Field Meaning value Current best estimate (0–1), with temporal decay applied fragility How much confidence drops if the best source is removed staleness_penalty How much evidence aging has already cost source_diversity How independent your sources are Sources are combined using noisy-OR pooling — the same model used in fault trees — so independent confirmation genuinely compounds, but correlated sources don't double-count.…