HydraDB : Context & memory infrastructure for AI

Agents are the new workforce. Give them context & memory they need.

Agents are the new workforce. Give them context & memory they need.

Agents are the new workforce. Give them context & memory they need.

VectorDBs suck. AI is stateless. We fix all that.

HydraDB stores the full context, its relationships, decisions around it, and the timeline of how it has evolved.

VectorDBs suck. AI is stateless. We fix all that.

HydraDB stores the full context, its relationships, decisions around it, and the timeline of how it has evolved.

///AgentDB that works

///AgentDB that works

> Setting up index

> Building context graph...

> Resolving relations...

Trusted by engineers from

Trusted by engineers from

///Why HydraDB

VectorDBs are flat document indexes. They fail as soon as you ingest 10M documents and complex enterprise data. The project "strawberry" and the fruit "strawberry" are the same word, but completely different contexts. VectorDBs cannot tell the difference.

Retrieval accuracy collapses at scale. They store no relationships, no decisions, no timeline — just vectors. Similarity is not relevance.

HydraDB fixes this. Continue reading.

///FEATURES

Core Architecture

End-to-End context engineering made easy. The most thoughtful way to make agents stateful with any form of data.

Recall Everything

Assemble context from business data, chat sessions, documents. Remember user preferences while retrieiving.

Highest Recall Accuracy

The highest accuracy context engine for your AI. Learn how we lead LongMemEvals with 90% accuracy.

Distributed

Multi-region availability. Traffic routed to nearest zone.

In memory

Processed in RAM. Ultra low latencies. For AI that cannot afford to wait.

LATENCY

Always <200

ms

///Why HydraDB

VectorDBs are flat document indexes. They fail as soon as you ingest 10M documents and complex enterprise data. The project "strawberry" and the fruit "strawberry" are the same word, but completely different contexts. VectorDBs cannot tell the difference.

Retrieval accuracy collapses at scale. They store no relationships, no decisions, no timeline — just vectors. Similarity is not relevance.

HydraDB fixes this. Continue reading.

///FEATURES

Core Architecture

End-to-End context engineering made easy. The most thoughtful way to make agents stateful with any form of data.

Recall Everything

Assemble context from business data, chat sessions, documents. Remember user preferences while retrieiving.

Highest Recall Accuracy

The highest accuracy context engine for your AI. Learn how we lead LongMemEvals with 90% accuracy.

Distributed

Multi-region availability. Traffic routed to nearest zone.

In memory

Processed in RAM. Ultra low latencies. For AI that cannot afford to wait.

LATENCY

Always <200

ms

///Why HydraDB

VectorDBs are flat document indexes. They fail as soon as you ingest 10M documents and complex enterprise data. The project "strawberry" and the fruit "strawberry" are the same word, but completely different contexts. VectorDBs cannot tell the difference.

Retrieval accuracy collapses at scale. They store no relationships, no decisions, no timeline — just vectors. Similarity is not relevance.

HydraDB fixes this. Continue reading.

///FEATURES

Core Architecture

End-to-End context engineering made easy. The most thoughtful way to make agents stateful with any form of data.

Recall Everything

Assemble context from business data, chat sessions, documents. Remember user preferences while retrieiving.

Highest Recall Accuracy

The highest accuracy context engine for your AI. Learn how we lead LongMemEvals with 90% accuracy.

Distributed

Multi-region availability. Traffic routed to nearest zone.

In memory

Processed in RAM. Ultra low latencies. For AI that cannot afford to wait.

LATENCY

Always <200

ms

///USE CASES

AI is only as good as the context it can access.

The serverless context infra built with in-memory data stores: ultra low latency, highest precision recall, and relationally-aware.

01

Build memory layers

Memory is what separates general from personalized. Maintain long-term awareness across sessions, users, and workflows. Your agents retain relevant knowledge so every interaction builds on the last.

02

Give persistent context

Create structured context stores for your agents that evolve with every interaction. Ingest conversations, documents, and signals into a persistent context layer your AI can query instantly.

03

Make agents stateful

Turn stateless models into systems that understand history and progress. Agents track tasks, decisions, and evolving context to operate reliably in production. Create shared learning layers where multiple agents stay aware of each other and coordinate through a common context.

///USE CASES

AI is only as good as the context it can access.

The serverless context infra built with in-memory data stores: ultra low latency, highest precision recall, and relationally-aware.

01

Build memory layers

Memory is what separates general from personalized. Maintain long-term awareness across sessions, users, and workflows. Your agents retain relevant knowledge so every interaction builds on the last.

02

Give persistent context

Create structured context stores for your agents that evolve with every interaction. Ingest conversations, documents, and signals into a persistent context layer your AI can query instantly.

03

Make agents stateful

Turn stateless models into systems that understand history and progress. Agents track tasks, decisions, and evolving context to operate reliably in production. Create shared learning layers where multiple agents stay aware of each other and coordinate through a common context.

///PLANS

Flexible Deployment

Monthly

Yearly

20% off

Ship

For smaller scale apps

$249

/mo

Up to 5 tenants

Unlimited users

Up to 1M tokens stored per month

Surge

For apps growing rapidly

$1,000

/mo

Up to 10 tenants, Unlimited users

Up to 100M tokens stored per month

10x higher rate limits

Scale

For enteprise production

Popular

$5,000

/mo

Unlimited tenants & tokens

Option to self host

Dedicated slack support & advisory

Enterprise Ready

Deploy enterprise-grade AI infrastructure in minutes.

Jeeva AI SOC 2 Certificate
Jeeva AI GDPR Certificate

Self host or on premise deployment

Role-based access control (RBAC)

Data residency options

24/7 white-glove support

SSO support (SAML, OAuth)

Audit logs

Custom SLAs

Data encryption (in transit & at rest)

Data encryption (in transit & at rest)

///PLANS

Flexible Deployment

Monthly

Yearly

20% off

Ship

For smaller scale apps

$249

/mo

Up to 5 tenants

Unlimited users

Up to 1M tokens stored per month

Surge

For apps growing rapidly

$1,000

/mo

Up to 10 tenants, Unlimited users

Up to 100M tokens stored per month

10x higher rate limits

Scale

For enteprise production

Popular

$5,000

/mo

Unlimited tenants & tokens

Option to self host

Dedicated slack support & advisory

Enterprise Ready

Deploy enterprise-grade AI infrastructure in minutes.

Jeeva AI SOC 2 Certificate
Jeeva AI GDPR Certificate

Self host or on premise deployment

Role-based access control (RBAC)

Data residency options

24/7 white-glove support

SSO support (SAML, OAuth)

Audit logs

Custom SLAs

Data encryption (in transit & at rest)

Data encryption (in transit & at rest)

///PLANS

Flexible Deployment

Monthly

Yearly

20% off

Ship

For smaller scale apps

$249

/mo

Up to 5 tenants

Unlimited users

Up to 1M tokens stored per month

Surge

For apps growing rapidly

$1,000

/mo

Up to 10 tenants, Unlimited users

Up to 100M tokens stored per month

10x higher rate limits

Scale

For enteprise production

Popular

$5,000

/mo

Unlimited tenants & tokens

Option to self host

Dedicated slack support & advisory

Enterprise Ready

Deploy enterprise-grade AI infrastructure in minutes.

Jeeva AI SOC 2 Certificate
Jeeva AI GDPR Certificate

Self host or on premise deployment

Role-based access control (RBAC)

Data residency options

24/7 white-glove support

SSO support (SAML, OAuth)

Audit logs

Custom SLAs

Data encryption (in transit & at rest)

Data encryption (in transit & at rest)

///SUPPORT

Frequently Asked Questions

Why can't I build it myself?

What are the alternatives to HydraDB?

Can I deploy on-premise?

What is the API latency?

Do you support custom fine-tuning?

What happens if I hit the rate limit?

///SUPPORT

Frequently Asked Questions

Why can't I build it myself?

What are the alternatives to HydraDB?

Can I deploy on-premise?

What is the API latency?

Do you support custom fine-tuning?

What happens if I hit the rate limit?