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Transactional management of agent memory and knowledge graphs within single boundaries.
Distinguishing note: Focuses on transactional integrity for agent data, distinct from general database transactions.
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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
Handles memory, knowledge graphs, and structured data within a single transaction boundary to ensure data consistency.