Provide a native graph database
HydraDB is a native graph database built for AI infrastructure.
Coding / product dossier
Open-source graph database for AI memory, ontologies, and agent context on object storage.
Product brief
HydraDB is a native graph database built for AI infrastructure — memory, ontologies, and agent context. Today, we're open sourcing the core: the fastest, cheapest graph DB on the market, built directly on object storage. One API call gets you core primitives, sub-200ms latency, and none of the operational overhead of legacy graph databases. We built HydraDB because AI applications need graph-native context, not bolted-on workarounds. Try it, break it, contribute — it's yours now.
Why we selected it
Open-sourcing a graph database focused on agent memory, ontologies, and context makes this a technically substantive option for teams designing durable AI application context.
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Capability scan
Only capabilities supported by the product information we collected are listed here.
HydraDB is a native graph database built for AI infrastructure.
It is designed for AI memory, ontologies, and agent context.
The open-source core is built directly on object storage.
Its description says one API call provides core primitives.
The description cites sub-200ms latency.
Best-fit use cases
FAQ
HydraDB OSS is the open-sourced core of a native graph database built for AI infrastructure.
It targets memory, ontologies, and agent context.
Its description says the core is built directly on object storage.
Yes. The product announcement states that its core is being open sourced.
Its description cites sub-200ms latency.