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Conversation History Search is a specialized capability that provides Claude with long-term memory by indexing and retrieving data from past interactions. By utilizing both vector-based semantic similarity and exact string matching, it allows users and AI subagents to recall historical context, architectural decisions, and debugging solutions without repeating previous discussions. This skill is particularly valuable for maintaining consistency across long-running projects and reducing context window usage by fetching only relevant historical snippets.
