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

matrixorigin/matrixone

AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications. observed · 2026-08-28

github.com/matrixorigin/matrixone · homepage · Go · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

99/100

  • Activity 99
  • Release rhythm 99
  • Longevity 100
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: 6.0
  • age_days: 2022
  • days_rel: 7
  • days_push: 7
  • n_releases_24m: 53

Full methodology

Adoption not part of the score

1881 stars · 309 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

MatrixOne is a cloud-native, distributed HTAP SQL database written in Go that is MySQL-compatible and includes built-in vector search and full-text search. It uniquely offers Git-style version control for data (Git-for-Data), positioning itself as a data and memory backbone for AI agents and applications.

Use cases

  • run a mysql-compatible distributed sql database
  • store and query vector embeddings for ai agents
  • combine transactional and analytical workloads in one database
  • version and branch data like git
  • build rag applications with built-in vector and fulltext search
  • self-host a cloud-native htap database on kubernetes

When to choose

  • you need one database for both OLTP and OLAP workloads
  • you want vector search alongside relational SQL without a separate vector database
  • you need MySQL wire compatibility in a distributed, cloud-native deployment
  • you want data versioning/branching capabilities

When to avoid

  • you need a battle-tested database with a large production track record
  • you only need a simple single-node relational database
  • you depend on advanced MySQL-specific features not fully implemented
  • your stack is tightly bound to PostgreSQL extensions

Facets

service · maturity active

database vector-database search-engine databases large-language-models cloud-computing microservices go self-hosted cloud htap mysql-compatible git-for-data ai-native olap distributed-sql vector-search fulltext-search sql ai-agents linux macos docker kubernetes

2 sources

Member repositories

RepositoryRoleHealth v2
matrixorigin/matrixonemain99

For agents

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

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