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Built two local AI agents that share a memory to enforce past decisions, preventing the AI from switching databases without approval. Runs fully on laptop, no cloud.
MemoBench is a diagnostic benchmark for evaluating video generation models' memory consistency in dynamically changing environments, where objects disappear and reappear in updated states. It includes 360 ground-truth clips and an evaluation suite combining automated metrics with VQA-based assessment, revealing insights into memory consistency challenges.