About This Site
Graph database for connected, stateful AI context and agent memory 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.
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Key Features AI
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
Advantages
Purpose-built for AI agent memory and connected context
Object-storage architecture is designed to reduce storage and operational costs
Combines graph traversal with vector search, exact matching, and temporal reasoning
Supports multi-tenancy and strongly consistent reads
Offers open-source core, OpenCypher, Bolt, and HTTP API access
Provides a free plan with unlimited API calls and tenants
Supports self-hosting and dedicated infrastructure on higher-tier plans
缺点：Advanced storage limits and production features require paid plans
缺点：Enterprise deployments require contacting the company for custom pricing
缺点：Some listed native connectors may still be marked as coming soon
缺点：Using the platform effectively may require knowledge of graph modeling and OpenCypher
缺点：Benchmark and performance claims are vendor-provided and may vary by workload
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30-Day Click Trend
08-22
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