HydraDB
What is HydraDB?
HydraDB is an open-source, native graph database designed as an AI context infrastructure layer for agent memory, ontologies, company brains, GraphRAG, and connected application data. Built directly on object storage, it combines graph traversal, vector search integrations, exact-match search, temporal versioning, and structured relationships to help AI systems retrieve precise, relevant context. HydraDB provides multi-tenant storage, strongly consistent queries, tiered storage across memory, NVMe SSD, and object storage, sub-200ms latency, OpenCypher support, Neo4j-compatible Bolt connectivity, and HTTP APIs.
How to use HydraDB?
Sign up for HydraDB, install its SDK or connect through Neo4j-compatible Bolt and HTTP APIs, and ingest agent logs, documents, workplace data, user memories, and other knowledge sources. Build or query context graphs using OpenCypher, optionally combine graph traversal with vector search, BM25, reranking, and database filters, then provide the retrieved structured context to your AI agents.
HydraDB's Core Features
Object-storage-native graph database with tiered hot, warm, and cold storage
Graph-native AI context retrieval combining relationships, temporal state, vector search, and exact matching
Multi-tenant architecture with strongly consistent queries and sub-200ms latency
OpenCypher, Neo4j-compatible Bolt, and HTTP API support
Temporal versioning, entity resolution, preference-aware retrieval, and agent memory
Connectors for workplace, email, CRM, document, and other business data sources
Observability and trace dashboards for understanding why agents act
HydraDB's Use Cases
Build persistent memory systems for AI agents that retain user preferences, interactions, and traces
Create company brains and enterprise knowledge graphs from documents, workplace applications, chats, and business data
Develop GraphRAG systems that retrieve connected context instead of isolated similar documents
Power customer support agents with relationship-aware and temporally accurate context
Build AI coding assistants that understand repositories, issues, dependencies, and prior agent actions
Create research intelligence systems that connect entities, events, sources, and evolving knowledge
Implement agentic actions and context engineering workflows for workplace applications
FAQ from HydraDB
What is HydraDB?
How is HydraDB different from traditional graph databases?
Why use HydraDB instead of only a vector database?
Does HydraDB work with GraphRAG?
Can HydraDB work with an existing AI stack?
What data sources can be connected to HydraDB?
How long does integration take?
Does HydraDB offer self-hosting?
HydraDB Reviews (0)
HydraDB Pricing
Ship
Free
Unlimited API calls and tenants, multi-tenancy, observability and traces dashboard, community Slack and email support, and native application connectors.
Surge
$25 per month
Everything in Ship, up to 2GB of graph storage, storage overage at $0.50 per GB per month, private Slack channel, and SOC 2/GDPR reports with DPA.
Scale
$399 per month
Everything in Surge, up to 10GB of graph storage, storage overage at $0.25 per GB per month, dedicated infrastructure, and an option to self-host under license.
Enterprise
Custom pricing
Custom BYOC and fully self-hosted deployment, dedicated account manager, and support and uptime SLAs.
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