SurrealDB 3.0 launches as all-in-one database for AI agent memory, raises $23M

SurrealDB launched version 3.0 alongside a $23M Series A extension (total funding $44M), positioning as a single database to replace the typical five-database RAG stack. The Rust-native engine combines vector search, graph traversal, and relational queries in one transactional system. With 2.3M downloads and 31K GitHub stars, SurrealDB targets the complexity of running DuckDB, Postgres, Neo4j, and Pinecone together. Deployments already span edge devices in cars and defense systems to production AI agent platforms.

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