Ross ROSS = Recommend OSS · open-source software intelligence for agents

surrealdb/surrealdb

A scalable, distributed, collaborative, document-graph database, for the realtime web observed · 2026-08-28

github.com/surrealdb/surrealdb · homepage · Rust · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

94/100

  • Activity 98
  • Release rhythm 86
  • Longevity 100

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 4
  • age_days: 1728
  • days_rel: 16
  • days_push: 12
  • n_releases_24m: 64

Full methodology

Adoption not part of the score

32944 stars · 1350 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

SurrealDB is a multi-model database written in Rust that combines document, graph, vector, and relational data models in a single ACID engine, queryable via SurrealQL, SDKs, or GraphQL. It runs embedded, single-node, or distributed, and offers real-time live queries, built-in authentication, and an Agent Memory layer for AI applications.

Use cases

  • store documents and graph relationships in one database
  • run vector search for AI agent memory
  • build realtime apps with live queries and changefeeds
  • embed a database directly in a Python or JavaScript app
  • self-host a scalable distributed database with horizontal scaling
  • replace separate vector, graph, and document stores with one engine
  • add authentication and row-level permissions to app data

When to choose

  • you need multiple data models (document, graph, vector, relational) without running separate systems
  • you want realtime subscriptions and live queries out of the box
  • you need an embeddable database that also scales to distributed multi-region deployments
  • you are building AI agents that need durable memory and context retrieval

When to avoid

  • you need a battle-tested traditional RDBMS with mature SQL tooling and ecosystem
  • your project requires a permissive open-source license (SurrealDB uses BSL 1.1)
  • you depend on a wide ecosystem of third-party extensions and mature operational tooling
  • you need strict relational integrity with complex joins as the primary access pattern

Facets

service · maturity stable

database vector-database search-engine auth websocket cli sdk databases backend web-development large-language-models microservices windows cloud self-hosted rust python wasm browser multi-model-database document-database graph-database surrealql backend-as-a-service live-queries agent-memory bsl-license embedded-database ai-agents real-time linux macos docker kubernetes nodejs

10 sources

Member repositories

RepositoryRoleHealth v2
surrealdb/surrealdbmain94

For agents

markdown · JSON · MCP: product_card(name="surrealdb/surrealdb")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem