Introducing Encore × SurrealDB

Encore and SurrealDB have introduced an integration aimed at simplifying the development of stateful AI applications and agents that require durable, context-aware memory. SurrealDB combines vector search, graph relationships, structured filtering, and unstructured document storage in one multi-model database, reducing the need to synchronize separate data systems, while Encore supplies typed APIs, background processing, event-driven workflows, local testing, and deployment to AWS or GCP. Developers can build and test end-to-end memory ingestion and retrieval workflows locally before provisioning production infrastructure, and coding agents can use Encore’s MCP server to interact with running applications, inspect traces, and validate features. The integration supports use cases including agent memory, knowledge assistants, GraphRAG systems, context layers, and multi-agent applications, with documentation and an example durable memory service available through SurrealDB and Encore.

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