New ATANT framework measures AI systems' ability to maintain meaningful context over time using 250-story test corpus

ATANT (Automated Test for Acceptance of Narrative Truth) is an open evaluation framework that formally defines and measures 'continuity' - an AI system's ability to persist, update, and reconstruct context across time

Framework defines continuity with 7 required properties and uses a 10-checkpoint evaluation methodology that doesn't require an LLM in the evaluation loop

Test suite includes 250 stories with 1,835 verification questions across 6 life domains to assess memory components like RAG pipelines and vector databases

Reference implementation showed significant improvement from 58% in legacy architecture to 100% performance in isolated and cumulative test modes