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Core data primitives for handling authoritative and experiential information in agent systems.
Distinguishing note: Focuses on foundational data types, distinct from high-level memory management.
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SurrealDB is a multi-model database engine designed to store and query document, graph, relational, and vector data within a single ACID-compliant platform. It functions as an AI-native data store, integrating vector search, graph traversal, and machine learning model execution directly into its query layer. By providing a unified declarative query language, the platform eliminates the need for external middleware to synchronize data across different storage models. The platform distinguishes itself through its ability to manage agent memory and complex workflows natively. It allows developer
Uses core primitives to handle authoritative data, experiential input, and collective shared knowledge.