SurrealDB

Modern applications often need several databases at once — a document store here, a graph database there, a vector store for AI, a search index — each with its own connection, query language and operational burden. SurrealDB collapses all of that into one, a multi-model database now positioned as 'the context layer for AI agents.'

One database, many models

SurrealDB unifies documents, graphs, vectors, time-series, full-text search and relational data within a single ACID transaction framework. That's a genuinely ambitious consolidation: instead of running and syncing multiple specialized databases, you get one query language (SurrealQL), one connection pool and one deployment. For developers, eliminating that multi-database complexity is a major simplification — fewer moving parts to secure, monitor and keep consistent. Its built-in vector search puts it in conversation with dedicated stores like Qdrant, but as part of a broader unified system.

Built for AI agents

SurrealDB has leaned into the AI moment with Spectron for persistent agent memory, native graph traversal and vector search — all designed to give AI agents reliable context and structured knowledge to reason over. As agents increasingly need durable memory and relationships between facts, a database that natively combines graphs, vectors and documents is a strong fit for that use case, hence the 'context layer for AI agents' framing.

Strong consistency, done right

Crucially, SurrealDB offers ACID transactions and strong consistency rather than the eventual consistency of many distributed systems — which matters a lot when correctness is non-negotiable. Built-in authentication rounds out a platform meant for real production applications, not just experiments.

Simplify your stack

The overarching benefit is architectural: by handling many data models in one place, SurrealDB lets teams consolidate complex data infrastructure into something far simpler to build on and operate.

Who it's for

SurrealDB suits development teams building AI agents and production applications that need unified data models, and enterprises wanting to consolidate complex data infrastructure while keeping strong consistency.

Pricing

SurrealDB offers free sandbox access to start and a commercial SurrealDB Cloud tier ('Scale') for high availability, plus an open-source core you can self-host. You can prototype free before moving to managed cloud for production.

The consolidation benefit compounds operationally: every separate database you run is another system to secure, back up, monitor and keep in sync, and those costs quietly multiply as an app grows. By handling documents, graphs, vectors and search in one ACID-compliant engine, SurrealDB doesn't just simplify your code — it shrinks the whole surface area of infrastructure your team has to operate and reason about.

Bottom line: SurrealDB is a multi-model database that unifies documents, graphs, vectors and more with ACID guarantees and one query language — simplifying complex data stacks and serving as a strong context layer for AI agents.