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Memory Sync helps developers maintain continuity across multiple AI coding sessions by persisting progress, architectural decisions, and project context into a standardized set of Markdown files. It automates the review of session activity, identifies key implementation patterns, and updates project memory files like active-context.md and progress.md. By ensuring that subsequent sessions start with a clear, up-to-date understanding of the project's current state and history, it eliminates context drift and the need for manual status updates.