SurrealDB

What is SurrealDB?

SurrealDB is an open-source, multi-model database platform designed to support modern application development and AI agent systems. It consolidates multiple data paradigms—documents, graphs, vectors, and time-series data—into a single unified database, eliminating the need for separate specialized databases or middleware layers. The platform enables developers to perform complex queries across different data types within a single transaction, from storage through to memory. This unified approach simplifies application architecture by reducing operational complexity and the number of systems requiring maintenance and integration. SurrealDB serves developers building AI applications, real-time systems, and modern software that requires flexible data modeling without traditional database constraints. The platform supports both document-style and relational queries, graph traversal operations, vector similarity searches, and temporal data analysis through one consistent interface. As an open-source project available on GitHub, SurrealDB provides source code transparency and community-driven development. The database is positioned as a context layer for AI agents, allowing systems to efficiently store, retrieve, and process the diverse data structures required for intelligent applications. The multi-model architecture addresses the architectural complexity common in contemporary development stacks, where teams traditionally juggle multiple database solutions to handle different data requirements.