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Operations that remove memory records along with their vector embeddings and associated waypoints from the store.
Distinct from Vector Memory Stores: Distinct from Vector Memory Stores: focuses on the deletion lifecycle of individual memory records, not on the storage system itself.
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OpenMemory is an embeddable memory engine for LLM agents that stores, retrieves, and manages conversational context and agent state using semantic indexing and temporal facts. It functions as a semantic memory store backed by vector indexing, where memories are organized by meaning rather than by exact key, and includes a tiered decay engine that gradually reduces the salience of unused memories while compressing cold vectors and fingerprinting dormant entries to conserve storage. The system also maintains a temporal fact database that records factual statements with subject-predicate-object s
Removes memory records along with their vector embeddings and associated waypoints from the store.