HydraDB

HydraDB is an open-source, native graph database built to serve as an AI context infrastructure layer. It powers agent memory, ontologies, company brains, GraphRAG, and connected application data, giving AI systems the shared, structured knowledge they need to reason over real relationships rather than isolated fragments.

Built directly on object storage, HydraDB combines graph traversal, vector search integrations, exact-match search, temporal versioning, and structured relationships. That means your AI systems can retrieve precise, relevant context—pulling the right facts at the right moment instead of settling for approximate matches.

HydraDB delivers multi-tenant storage and strongly consistent queries, so different teams and applications can share one reliable source of truth. Tiered storage across memory, NVMe SSD, and object storage keeps hot data fast while costs stay controlled, with sub-200ms latency for responsive AI workloads.

For easy adoption, HydraDB supports OpenCypher, Neo4j-compatible Bolt connectivity, and HTTP APIs, letting you plug it into existing tools and pipelines without rewriting everything from scratch.