Stay updated with the latest developments in Artificial Intelligence
An open-source, local, read-only MCP server that checks your request before Google quietly hands back nothing Ask the Google Search Console API for clicks filtered by country us and you get zero rows. No error, no warning, just nothing. It's not the only one.
SurrealKV 1.0 is open source today: 7.95× faster point reads than RocksDB with synchronous durability, and the command to run the benchmark yourself.
SurrealKV and SurrealMX are open source under Apache 2.0, and every benchmark we publish comes with the command to run it.
SurrealMX is SurrealDB’s high-performance in-memory storage engine, built for ultra-low latency, high concurrency, and millions of operations per second.
SurrealDB and Encore make it easier to build production-ready AI applications with durable memory. The integration combines SurrealDB’s vector search, graph relationships and structured data with Encore’s APIs and infrastructure, giving developers a simpler way to build, test and deploy…
Learn AI engineering hands-on with SurrealDB, from vector search and RAG to hybrid retrieval, agent memory, Text-to-SurrealQL, and context-layer architecture.
SurrealDB Cloud now runs on Microsoft Azure, so teams standardised on Azure can deploy inside the cloud they have already approved.
Move breadth-first search into SurrealDB: recursive traversal with a depth range, predicates pushed into every hop, and what EXPLAIN says about edge indexes.
A filter applied after an HNSW walk can only remove rows, so a selective one comes back empty. Three measured SurrealDB fixes, plus the schema that avoids them.
One package gives Mastra agents a single database for conversations, workflow state, observability and vectors, plus managed memory that extracts and semantically recalls facts.
SurrealDB Cloud now runs in Frankfurt, Germany: lower latency across continental Europe, German and EU data residency, and a shorter round trip for agents.
SurrealDB Cloud now runs in São Paulo: in-region latency for Latin America, Brazilian data residency, and faster agent workloads.
Give an AI agent persistent memory as a filesystem in SurrealDB: computed file paths, fused full-text and vector search, and RBAC in a single PERMISSIONS clause
Cobrainer runs graph-based agent memory and a Rust-native agentic graph RAG on SurrealDB, replacing a separate vector store and search engine.
SurrealDB University's newest course teaches you about schema internals and migrations.
Graph engineering stops at the diagram. The harder half is the context graph underneath: whether relations, vectors and memory share one consistency boundary.
The first alpha of the official Swift SDK for SurrealDB is here, with async/await, type-safe models, live queries, and Swift Package Manager support.
How to use asOf in Agent Memory to allow gating of spoilers to ensure that spoiler-filled memory, even if already ingested, does not show up if it should not.
Introducing SurrealDB Studio: the new app for working with your SurrealDB instances and Spectron contexts, and the most powerful way to interact with your data.
Showing 18 of 33 stories
Load more storiesGet the top AI news and tools straight to your inbox every week.
Weekly · AI news from SurrealDB Blog
Join 15,000+ AI enthusiasts
