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The Iteration Checkpointer is a critical utility for the Autonomy framework that ensures long-running tasks remain coherent even as conversation history grows. It functions as a persistent memory layer by extracting key decisions, artifacts, and external context from the current session and merging them into a structured journal file. This protects vital information from being lost during context compaction—where the AI's memory limit is reached—and provides a clear audit trail of work performed before an iteration is officially concluded.