HelixDB/helix-db
HelixDB is an OLTP graph-vector database built in Rust on Object Storage. observed · 2026-08-28
Health v2 · maintenance only
84/100
- Activity 99
- Release rhythm 86
- Longevity 46
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: 0.0
- age_days: 648
- days_rel: 17
- days_push: 7
- n_releases_24m: 183
Adoption not part of the score
5857 stars · 342 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
HelixDB is an open-source OLTP graph-vector database written in Rust that combines labeled property graphs with native vector, full-text, and temporal search on object storage. It ships with a CLI, SDKs for TypeScript, Python, Go, and Rust, an embedded runtime, and a cloud offering, targeting AI memory, GraphRAG, and company-knowledge applications.
Use cases
- store long-term memory for AI agents
- build a GraphRAG assistant with graph traversal and vector search
- create a company brain searching people, projects, and documents together
- map code dependencies and search a codebase semantically
- build recommendations combining relationships and similarity
- run a self-hosted graph-vector database on object storage
- query knowledge graphs with vector and full-text search in one engine
When to choose
- you need graph relationships, vector similarity, and full-text search in a single transactional store
- you are building AI agent memory, GraphRAG, or enterprise knowledge applications
- you want an embedded or self-hosted database backed by object storage with low cost at scale
- you want pre-filtering so vector results respect graph and permission boundaries
When to avoid
- you need a mature, battle-tested database with a long production track record
- you only need a simple key-value or relational store without graph or vector features
- you require a large ecosystem of third-party tools and connectors
- you need heavy analytical (OLAP) workloads rather than OLTP
Facets
service · maturity active
database vector-database search-engine rag cli sdk databases large-language-models developer-tools rust windows self-hosted python go cloud graph-database graphrag agent-memory object-storage embedded-database hybrid-search knowledge-graph oltp full-text-search mcp retrieval-augmented-generation ai-agents search macos linux docker nodejs
7 sources
- readme: https://github.com/HelixDB/helix-db · fetched 2026-08-28 · cfcaba65f28b
- homepage: https://helix-db.com · fetched 2026-08-29 · 0309e653259b
- site_page: https://docs.helix-db.com · fetched 2026-08-29 · a8808d81807a
- site_page: https://docs.helix-db.com/cli/getting-started · fetched 2026-08-29 · b402b796fa19
- site_page: https://docs.helix-db.com/database/helix-db/start-here/sdk-setup/typescript-project-setup · fetched 2026-08-29 · 8d2ffddb9d3a
- site_page: https://docs.helix-db.com/database/release-notes · fetched 2026-08-29 · 5fc5e2df4921
- registry_crates: https://crates.io/api/v1/crates/helix-db · fetched 2026-08-29 · 1831dd6f9fb1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| HelixDB/helix-db | main | 84 |
For agents
markdown · JSON · MCP: product_card(name="HelixDB/helix-db")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem