Almost every SaaS app needs the same plumbing: orgs, roles, permissions you write once, get subtly wrong, and patch for years. SurrealKit ships Organizations and Teams as tested SurrealQL you opt into. Learn more from Chiru Boggavarapu. 👉 sdb.li/4fwT5v3

Struggling with a fragmented backend architecture? Learn why Aspire Competitions migrated to our multi-model database, and how it helped cut complexity and speed up development. 👉 sdb.li/3R8BxMw

Did you know Spectron lets you store context with one line of code? The remember_many() method extracts facts automatically and assigns them to the right user. Learn more in our docs. 👉 sdb.li/4fgQSTe

Ready to get hands-on with SurrealDB? This tutorial gives you the practical skills to build a movie database while mastering our multi-model database and SurrealQL. Start building today. 👉 sdb.li/4kpSpbK

RAG can retrieve information, but it can't determine authority, precedence, or approvals. Tobie Morgan Hitchcock explains in Verdict why context, not bigger prompts, is what makes agentic AI reliable. Read the full piece. 👉 sdb.li/4eW3QqO

"Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo buffalo" is technically valid English, but it's confusing. Our own @mithridates.bsky.social uses SurrealQL and Surrealist's graph visualisation to show exactly how it works. 👉 sdb.li/4vU0N8A

Every new AI capability shouldn't mean a new service to manage. Cobrainer avoided fragmenting its stack by running graph, vector, full-text, and memory for its AI agent on one engine, our multi-model database. Read the full story. 👉 sdb.li/3R2eeE0

At Camp AI this week, hosted by @auth0byokta.bsky.social, @martinschaer.bsky.social will showcase the benefits of having a multi-model DB for your agents: rich context through a single text-to-surql tool call, and only one query to build the context. Full event details. 👉 luma.com/camp-ai-july...

Did you know our multi-model database lets you define record user access and per-table permissions directly in SurrealQL? Authentication lives inside the database, not an external service. Learn more in our docs. 👉 sdb.li/4wppgSR

Context layer, semantic layer, knowledge graph: three terms AI teams can confuse, often building them as three disconnected systems. SurrealDB handles all three in a single query, in a single round trip. Learn how. 👉 sdb.li/3SWNN3e

Developer Office Hours is back today. Join us at 4 PM BST on Discord, where host Chiru Boggavarapu will walk you through two SurrealKit features: rollouts (shipped) and the upcoming multi-database feature. See you there. 👉 sdb.li/4ffMfKi

Production traffic, uptime commitments, AI agents that can't stall. Scale, the new tier of SurrealDB Cloud, our fully managed database service, is for teams that need high availability and scale in production. Learn more. 👉 sdb.li/4ghyYSz

Why let Replit Agent improvise a backend when you already own one? Chiru Boggavarapu walks through connecting Replit Agent to SurrealDB via MCP, ending with a real interface running on your own data. Try it for yourself. 👉 sdb.li/4p2euQ7

Did you know SurrealDB gives you ACID transactions across document and graph writes? Every write commits or rolls back together with no partial state, including across multi-statement manual transactions. Learn more in our docs. 👉 sdb.li/4ycbQvo

Meet SurrealQL, our powerful SQL-like query language built for our multi-model database. Intuitive for developers, it makes querying across data models straightforward. Start your journey of learning SurrealQL today. 👉 sdb.li/3Khkft6

💜 Dev quote of the week.

Schemic, built by community member Manuel Sánchez, lets developers define schemas in the Zod API and generate native DDL, types, and migrations. It ships with SurrealDB driver support; check out the GitHub repo. 👉 github.com/schemichq/sc...

Most agentic coding tools improvise the backend. SurrealDB changes that. Chiru Boggavarapu shows how connecting Lovable to SurrealDB via MCP makes your database the system of record and source of truth the AI builds against. See how it works. 👉 sdb.li/44qOhRG

Surrealist 3.9, our latest major UI release, introduces a complete design overhaul, a new datasets browser and data manager, an improved record inspector, and more. Explore the highlights. 👉 sdb.li/3Qk4iWl

Did you know SurrealDB lets you query graph, vector, and temporal data in a single round trip? Learn more in our docs on how our multi-model database lets you put an end to ORMs, joins, and glue code between datastores. 👉 sdb.li/4xyo5BY

RAG works well for retrieval, but agentic AI needs more. The missing layer is usually a world model, and knowledge graphs are one way to provide it. Tobie Morgan Hitchcock explains why in Techstrong AI. Read the full piece. 👉 sdb.li/4gukpLl

Building AI workloads on Nebius? SurrealDB is on the Nebius AI Cloud Marketplace. Document, graph, and relational capabilities in one unified data layer, designed for agent memory and agentic workflows. Find out more. 👉 sdb.li/4fOElbG

Attending @aidotengineer.bsky.social World’s Fair in San Francisco and looking to go deeper on agents? Join us on June 30 when Tobie Morgan Hitchcock and engineers from @vercel.com and awscloud.bsky.social tackle building agents that hold up in production. Register. 👉 sdb.li/4uJ3Te7

Multiple databases giving you an operational headache? There’s a better way. Fountain migrated its graph and payments features to our multi-model database, replacing multiple services with one unified platform. Learn more. 👉 sdb.li/4kajW0W

Master the five core parts of building a production-ready database with the SurrealDB Fundamentals course. Start building your project today with practical, hands-on learning. 👉 sdb.li/4qt2G9k

Jameson Lee from @pydantic.dev built an audience survey tool that nudges respondents with follow-up questions as they type, then extracts and classifies every submission. SurrealDB stores the results as a live, queryable audience graph. Check out the GitHub repo. 👉 github.com/jameson-pyda...

Think your AI agent is production-ready? Tobie Morgan Hitchcock explains in InfoWorld why most agents disappoint when they meet the real world and the four things to fix first. Read the full piece. 👉 sdb.li/4gjPp0u

Your agent shouldn’t need a new tool for every question. The text-to-surql tool converts natural language into queries on the fly and lets the database handle permissions, so your agent only sees what it’s allowed to. Here’s how to set it up. 👉 sdb.li/4v1Hs4P

Did you know SurrealDB’s CLI has a validate command? It validates multiple .surql files simultaneously to ensure they parse successfully. Check out more examples in our docs. 👉 sdb.li/3POMGld

What does it take to build agents that last past the demo? Join us in London on 11 June. Tobie Morgan Hitchcock, @martinschaer.bsky.social, and Ziv Ilan (NVIDIA) will tackle the challenges of memory, context, and infrastructure when scaling agents. Register. 👉 sdb.li/4esubfI