# hydra-db/hydradb

HydraDB - fast graph database on object storage

Repository: https://github.com/hydra-db/hydradb
Canonical: https://ross.abutalabs.com/products/hydradb
Homepage: https://hydradb.com
Language: Rust
License: AGPL-3.0
License Family: copyleft
Last push: 2026-08-19T00:23:48+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 4
- inputs: {"age_days": 61, "days_push": 15, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1312, forks 586 (observed 2026-08-28T04:04:20.035965+00:00)

## What it is
HydraDB is an object-store-native distributed graph database written in Rust, using S3-compatible storage as the durable source of truth with disaggregated compute (data nodes and indexers). It supports OpenCypher queries, GraphBLAS traversal, Neo4j-compatible Bolt connectivity, and an HTTPS query API, and is positioned as a context/memory substrate for AI agents.

## Use cases
- run a graph database on S3-compatible object storage
- query graphs with OpenCypher using Neo4j drivers
- build agent memory for AI applications
- store and query knowledge graphs and ontologies
- scale graph compute independently from storage
- replace a stack of vector db, graph db, and cache with one system
- self-host a distributed graph database in Rust

## When to choose
- you want durable graph storage on cheap object storage with disaggregated compute
- you need Neo4j Bolt compatibility without running Neo4j
- you are building AI agent memory, ontologies, or context graphs
- you want independent scaling of query nodes and indexers

## When to avoid
- you need a small embedded graph library in-process
- you require a permissive license (AGPL-3.0)
- you need mature, battle-tested Neo4j feature parity
- you lack S3-compatible object storage infrastructure

## Facets
- artifact type: service
- maturity: active
- function: database, search-engine, auth, authorization, monitoring, tracing, api-framework
- domain: databases, graph-processing, artificial-intelligence, large-language-models, self-hosted, microservices
- platform: rust, self-hosted, cloud
- tags: graph-database, opencypher, object-storage, s3, bolt-protocol, neo4j-compatible, graphblas, slatedb, agent-memory, context-graph, disaggregated-storage, knowledge-graph, ai-agents, docker, linux

## Member repositories
- hydra-db/hydradb (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:20.035965+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:49:05.273568+00:00, confidence not recorded.
  - readme: https://github.com/hydra-db/hydradb (fetched 2026-08-28T04:04:20.035965+00:00, sha fe5cee2f5ec4)
  - homepage: https://hydradb.com (fetched 2026-08-29T12:07:40.242105+00:00, sha 4bd8a209234c)
  - site_page: https://docs.hydradb.com/ (fetched 2026-08-29T12:07:40.244787+00:00, sha 976e8949ee30)
- Data as of 2026-08-30T08:39:29.467469+00:00.