Auto-Recall Overview Semantic retrieval from the perpetual memory vector store at query time. Parses query intent, searches the LanceDB table, ranks results by relevance and recency, and returns structured context for injection into agent prompts. Core principle: Every agent should be able to recall any past interaction instantly by meaning, not by filename or keyword. Auto-recall is the read side of the perpetual memory architecture. When to Use - At the start of any task to recall related past decisions and learnings - When debugging to find previously encountered similar issues - When an a…