Top AI Product

If you’ve been anywhere near the data infrastructure space this past week, you’ve probably seen [SurrealDB 3.0](https://surrealdb.com/3.0) pop up in your feed. [VentureBeat](https://venturebeat.com/data/surrealdb-3-0-wants-to-replace-your-five-database-rag-stack-with-one), [SiliconANGLE](https://siliconangle.com/2026/02/17/surrealdb-raises-23m-expand-ai-native-multi-model-database/), [Tech.eu](https://tech.eu/2026/02/17/surrealdb-secures-23m-and-launches-surrealdb-3-0-to-address-ai-agent-memory-challenges/), [EU-Startups](https://www.eu-startups.com/2026/02/london-based-surrealdb-raises-additional-e19-million-to-scale-multi-model-database-for-ai-applications/) — everyone covered it. And honestly, I get why.

The pitch is bold: replace your entire multi-database RAG stack — vector DB, graph DB, relational DB, document store, cache — with a single engine. That’s five tools consolidated into one. If you’ve ever spent a weekend debugging sync issues between Pinecone, Neo4j, and Postgres in the same pipeline, you know exactly how appealing that sounds.

What makes the 3.0 release stand out is the agent memory angle. [SurrealDB](https://surrealdb.com/) now supports context graphs natively inside the database, meaning your AI agents can build, store, and traverse knowledge graphs as first-class database records. Combined with built-in vector indexing and search, an agent can do graph traversal, vector similarity lookup, and structured relational queries all in a single transactional SurrealQL call. No more stitching together three different query languages across three different services.

The London-based team also announced a $23M Series A extension, bringing total funding to $44M. Chalfen Ventures and Begin Capital joined existing backers FirstMark and Georgian. Mike Chalfen, who’s deployed over $300M into software startups, is joining the board — which says something about the conviction behind this bet.

I’ve been playing around with the [GitHub repo](https://github.com/surrealdb/surrealdb) (31K+ stars, for what it’s worth), and a few things stand out. It’s written in Rust, which keeps things fast. The new Surrealism plugin system lets you run custom logic and even models via WebAssembly directly inside the database. And multimodal storage means you can throw images, audio, and documents into the same engine alongside your structured data.

Is this going to replace every specialized database tomorrow? Probably not. But for teams building agentic AI applications who are drowning in infrastructure complexity, SurrealDB 3.0 is a seriously compelling “what if we just… didn’t do all that?” The timing couldn’t be better — agentic AI is going mainstream, and the memory problem is real. Worth keeping an eye on this one.