Cortex

Cortex

HydraDB is an object-storage-native distributed graph database built as a context layer for AI systems, purpose-built to store and serve structured, temporally versioned context for agents, memories, ontologies, and enterprise copilots.

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Freemium API Enterprise 80/100
One of 617 tools in AI Agents
Just launched
Data reviewed Sep 12, 2026

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Quick Overview

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HydraDB is an object-store-native, distributed graph database designed as the context layer for AI systems and agents. It stores structured context, temporal state, and relationships on object storage so query nodes and indexers can scale independently. The product targets developers and teams building agent memory, ontologies, company brains, and other stateful AI applications that require precision recall, temporal versioning, and explainability.

HydraDB combines graph traversal, vector/semantic search plugins, exact-match search, and temporal context to return relevant, connected evidence for agents rather than isolated similarity matches. The platform emphasizes high recall and low latency for real-time applications and supports multi-tenant namespaces, tiered storage (in-memory, NVMe SSD, object storage), and standard database interfaces (OpenCypher, Neo4j Bolt, HTTP).

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Key Features

Object-storage-native architecture

Uses object storage as the source of truth (S3-native) so query nodes and indexers can scale, restart, or be replaced independently without moving or replicating the graph.

Tiered storage for high throughput

Tiered context storage with hot in-memory cache, NVMe SSD for warm storage, and object storage for cold archival to achieve scalable, low-latency retrieval.

Temporal versioning & Git-style history

Git-style temporal versioning recalls what was true at any point in time, enabling temporal reasoning and snapshot-consistent queries.

Graph traversal accelerated by GraphBLAS

Indexer nodes build indexes using GraphBLAS for accelerated traversal and efficient graph queries.

Neo4j-compatible Bolt & HTTP APIs

Supports OpenCypher, Neo4j-compatible Bolt protocol, and HTTP APIs for integration with existing stacks and tools.

Connectors & plugins

Connectors and plugins include Slack, Notion, GitHub, Gmail and 100+ sources; a retrieval orchestrator and vectorstore plugin enable hybrid retrieval (semantic + BM25 + rerank).

Observability & traces dashboard

Built-in observability for agent retrievals, traces, and dashboarding to help understand context selection and agent behavior.

Multi-tenant namespaces

Namespace isolation for multi-tenant deployments with auto-scaling writer/reader/indexer nodes.

Benchmarks & high recall

Claims state-of-the-art recall on LongMemEval-S and benchmarks showing high accuracy across long context lengths.

Pricing

Free Tier Available

Ship: free plan with unlimited API calls & tenants, multi-tenancy, observability dashboard, and community Slack & email support.

Ship (Free)

Free
  • Unlimited API calls & tenants
  • Multi-tenancy
  • Observability & traces dashboard
  • Community Slack & Email Support

Surge

$25/month
  • Everything in Free
  • Up to 2GB graph storage
  • Overage at $0.50/GB/mo
  • Private Slack Channel

Scale

$399/month
  • Everything in Surge
  • Up to 10GB graph storage
  • Overage at $0.25/GB/mo
  • Dedicated infrastructure for guaranteed throughput

Enterprise

Custom
  • Custom VPC / BYOC and fully self-hosted options
  • Dedicated account manager
  • Support & Uptime SLAs
  • Book a call for enterprise pricing

Use Cases

Agent Memory

Build persistent, in-house memory systems for agents that store user preferences, past interactions, and agent traces with entity resolution and de-duplication.

Ontologies & Knowledge Graphs

Create structured ontologies and knowledge graphs that capture relationships and evolving state across documents, users, and events.

Company Brain / Enterprise Copilot

Provide a connected context layer for enterprise copilots and internal agents to answer questions about ownership, blockers, policies, and what changed since prior sessions.

GraphRAG & Retrieval-Augmented Agents

Serve as the graph database behind GraphRAG systems, combining traversal with vector retrieval to give agents connected, structured context.

Low-latency Real-time Apps

Support real-time applications requiring sub-200ms retrieval latency and high throughput using tiered storage and caching.

Support, Research, and Coding Assistants

Use for support agents, research intelligence, and AI coding assistants that need to remember history and understand relationships across sessions.

Integrations

Slack

Connector for ingesting workspace data and agent traces from Slack.

Notion

Connector for ingesting Notion documents and structured content.

GitHub

Connector for ingesting repository data, issues, and PRs.

Gmail

Connector for ingesting email content into the context graph.

Neo4j-compatible Bolt & HTTP

Protocol and HTTP APIs for integrating HydraDB into existing AI stacks and tools.

Benefits

More precise, relationship-aware retrieval for agents (combines graph traversal, vector search, and temporal context) leading to higher recall and accuracy.
Cost-efficient, scalable storage by making object storage the source of truth and using tiered storage to manage hot/warm/cold context.
Designed for production: multi-tenancy, observability, SOC2/GDPR compliance options, and enterprise deployment models (self-host/BYOC).
Low-latency retrieval suitable for real-time agent applications (<200ms recall degradation target).
Temporal versioning and strong consistency for reconstructing state at any point in time.

Limitations

Native connectors to some apps are listed as "coming soon," so not all connectors may be available immediately.
Pricing is storage-based with a minimum commitment and overage charges for storage above plan limits.
Self-hosting option is available by license/enterprise agreement (not automatically included for all plans).

Frequently Asked Questions

What is HydraDB? How is it different from other graph databases?
HydraDB is an object-store-native distributed graph database built in Rust that makes object storage the source of truth. This allows query nodes and indexers to scale or restart independently without moving or replicating the graph. It supports snapshot-consistent OpenCypher, GraphBLAS-accelerated traversal, Neo4j-compatible Bolt, and HTTP APIs.
Why use a graph database like HydraDB for AI agents?
A graph database provides relationships and state that vector search alone cannot. Agents can traverse explicit connections between people, projects, events, policies, documents, and past actions to construct relevant, connected context rather than isolated similar chunks.
When should I use HydraDB instead of a vector database?
Use a vector database for semantic search over mostly static content. Use HydraDB when an AI agent needs to understand how information connects and changes over time, answer questions about ownership or blockers, or reconstruct the latest valid state across sessions.
Does HydraDB work with GraphRAG?
Yes. HydraDB can be used as the graph database behind GraphRAG systems; GraphRAG is a retrieval approach and HydraDB can implement the storage and traversal components of that workflow.
Can I use HydraDB with my existing AI stack?
Yes. HydraDB plugs into existing stacks via Neo4j-compatible Bolt and HTTP APIs so you can keep current models and agents and add HydraDB as the graph layer for connected, stateful context.

Getting Started

  1. 1 Sign up for an account via the HydraDB website (Sign Up / Start building).
  2. 2 Ingest data using available connectors (Slack, Notion, GitHub, Gmail, and 100+ sources) or APIs.
  3. 3 Configure namespaces and storage tiers to match expected workload and retention.
  4. 4 Query HydraDB from your agents or applications via Neo4j-compatible Bolt or HTTP APIs and add retrieval orchestration (vectorstore + rerank) as needed.
  5. 5 Use observability dashboard and traces to monitor retrievals and tune recall and latency.

Support

Documentation

Documentation available via site navigation (Documentation).

Community Slack & Email

Community Slack and email support available on the free plan; private Slack channel for Surge customers.

Sales / Enterprise

Book a call for enterprise sales, dedicated account manager, and SLA support for Enterprise customers.

API

Available: Yes
Documentation:

https://hydradb.com/docs

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