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This paper introduces a Self-Evolving Just-In-Time Memory framework for proactive embodied safety, combining a Risk-Sufficient Topological Belief Graph, Agency-Grounded Factual Memory, and Experience Memory to mitigate hazards without stalling task progress. Experiments on IS-Bench show significant Safe-Success rate improvements (e.g., +30.3% on Qwen3-VL-8B).