Case Study: DigitalKin achieves unified agent memory and real-time multi-tenant isolation with SurrealDB

Agentic mesh with native graph and vector data

DigitalKin, a company in the artificial intelligence industry, faced challenges in building an agentic mesh ecosystem. They needed multi-tenant data isolation without separate clusters, real-time state updates to eliminate lag, schema agility for fast-moving workflows, and a future-proof path to incorporating graph data. They turned to the SurrealDB database to address these issues.

SurrealDB provided the solution by powering the platform with its native graph and vector capabilities. It offered schema flexibility for agent data, live queries for push-based updates, and namespace isolation for multi-tenancy. This resulted in a simplified stack with reduced overhead, faster development velocity, and a real-time experience that kept all systems in sync, preparing DigitalKin to consolidate agent memory with graph relationships.

DigitalKin