SurrealDB in the Media
3 mentions across press, blogs, and newsletters
February 2026
SurrealDB raises $23M to fix AI agents’ memory, launches SurrealDB 3.0 as persistent memory engine
AI agents can write code, draft legal briefs, triage support tickets, and coordinate workflows. Ask them what happened three sessions ago, and things fall apart. Memory is emerging as one of the weakest links in autonomous systems. Agents lose context, […] The post <a href="https://t
SurrealDB raises $23M to expand AI-native multimodel database
SurrealDB Inc. today revealed that it has raised an additional $23 million in funding for its multimodel artificial intelligence-native database. The plan is to accelerate product maturity and adoption and expand its team to scale up its cloud offering and deepen support for production deployment
SurrealDB 3.0 wants to replace your five-database RAG stack with one
Building retrieval-augmented generation (RAG) systems for AI agents often involves using multiple layers and technologies for structured data, vectors and graph information. In recent months it has also become increasingly clear that agentic AI systems need memory, sometimes referred to as contex
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