# HydraDB OSS

According to OpenAITools.app telemetry verified on 2026-11-11, HydraDB OSS (hydradb.com) is an AI platform indexed under Graph AI generating 29.64K monthly visits with a month-over-month traffic delta of +1.61K (+5.8%). Its primary geographic market is India (65% traffic share), and it operates on a Freemium, Contact for Pricing pricing model. Top competing alternatives by monthly volume include Pinecone (286.73K visits/mo), Qdrant (72.99K visits/mo), Polygres (4.02K visits/mo).

Graph database built on object storage for agent memory and context

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | HydraDB OSS |
| Handle | hydradb-oss |
| Status | active |
| Origin | open_source |
| Maintenance | active |
| Official Domain | hydradb.com |
| Website URL | https://hydradb.com |
| Categories | Graph AI, AI Knowledge Graph, AI Agent, AI Knowledge Base |
| Pricing Model | Freemium, Contact for Pricing |
| Monthly Visits | 29,635 |
| MoM Traffic Change | 1,612 |
| MoM Growth Rate | +5.8% |
| Primary Market | India |
| Market Share | 65% |
| Direct Visits | 17,146 |
| Organic Search Visits | — |
| Social Visits | — |
| Referral Visits | 2,500 |
| Email Visits | — |
| Review Score | 4.4 |
| Saved Count | 0 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Pricing: Freemium; Pricing: Contact for Pricing; Features: Website |
| Tags | Graph database, AI infrastructure, AI agent memory, Context engineering, Knowledge graphs, GraphRAG, Enterprise knowledge graphs, Company brain, Ontology management, Temporal versioning, Entity resolution, Preference-aware retrieval, Semantic search, Vector search integration, BM25 search, Reranking, OpenCypher, Neo4j-compatible Bolt, HTTP API, Object storage, S3-native database, Tiered storage, Multi-tenant database, Agent observability, Retrieval augmented generation, Stateful AI, Context retrieval, Customer support AI, AI coding assistants, Research intelligence, Agentic workflows, Open-source database, Rust database |

## Overview

HydraDB OSS is an open-source graph database designed for the memory and context layers of AI agents. Rather than stitching together a vector database, a graph store, and a relational database, it puts entities, relationships, traces, and preferences into a single graph that lives on object storage. The result is a database whose storage cost scales like S3 while queries stay fast enough for interactive agents.

The architecture separates write, index, and read nodes: Cypher writes land in a write-ahead log, an indexer builds GraphBLAS-backed indexes, and readers merge the index with pending WAL entries for strong consistency. Tiered storage moves hot data from in-memory cache to NVMe to cold object storage on demand. Built-in retrieval combines graph traversal with vector, BM25, and reranking so a query like "what breaks if I change this function" can be answered in a single call.

HydraDB OSS ships under an open-source license, so teams can self-host on any S3-compatible store, import graphs from other databases, and use the supplied SDKs and an HTTP API. The same engine is offered as a managed cloud service for teams that would rather not operate the cluster themselves. Helpful extras include assisted ontology creation, entity resolution, and temporal versioning that tracks what changed and when.

## Pricing & Plans

The open-source edition is free to self-host with community support. Managed cloud starts around $25/month minimum usage, a Scale tier around $300/month, and an Enterprise plan with custom (contact sales) pricing.

## Key Features & Capabilities

- **Object-storage-native engine:** Graph, WAL, value, and index data all live in S3-compatible storage with a hot/warm/cold tiering strategy, cutting infrastructure cost dramatically versus memory-resident graph databases.
- **Unified retrieval layer:** One query can traverse graph relationships and run vector, BM25, and reranked search together, so agents do not have to orchestrate four separate systems.
- **Temporal versioning and memory:** Every change is tracked, letting agents recall what happened, when, and in what sequence, which supports auditability and long-running agent workflows.
- **Neo4j-compatible interfaces:** OpenCypher over Bolt plus an HTTP API and SDKs make it approachable for teams already familiar with property graphs.
- **Assisted graph creation:** Ontology suggestions and entity resolution help teams build usable knowledge graphs without hand-designing every schema relationship.

## Primary Use Cases

- **Persistent agent memory (AI engineering teams):** Store conversations, decisions, and preferences in a graph so agents pick up context across sessions instead of starting from scratch each run.
- **Company knowledge graph (Platform architects):** Connect documents, services, ownership, and tickets into a single brain that answers questions spanning multiple systems.
- **GraphRAG pipelines (RAG developers):** Combine traversal with hybrid search to retrieve related facts rather than merely similar passages, improving answer precision on complex questions.
- **Cost-efficient large graphs (Data platform owners):** Grow graph size without tying storage to expensive database volumes, using object storage as the durable backend.

## Strengths

- Free open-source edition with an active GitHub community
- Storage costs scale with object storage rather than reserved database volumes
- Combines graph, vector, and keyword retrieval in one system
- Neo4j-compatible Cypher and Bolt reduce the learning curve

## Limitations

- Self-hosted deployment requires operating multiple node roles
- Managed cloud has a monthly minimum spend
- Newer project than established graph databases, so ecosystem maturity varies

## Frequently Asked Questions

### Is HydraDB OSS really free?
Yes. The open-source edition can be self-hosted on your own infrastructure with any S3-compatible object store at no license cost; paid managed tiers are optional.

### Does it work with existing Neo4j tooling?
It speaks OpenCypher over a Bolt-compatible protocol and also exposes an HTTP API, so many existing graph clients and drivers can connect.

### What kinds of search does it support?
Graph traversal, vector similarity, BM25 keyword search, and reranking can be combined in a single query against the same graph.

### Where is the data stored?
Data, write-ahead log, values, and indexes are stored in object storage, with caching on disk and in memory for hot data.

### What is HydraDB OSS's monthly traffic and growth trend?
HydraDB OSS currently receives 29.64K monthly visits, with a month-over-month traffic change of +1.61K (+5.8% growth rate). Its primary source market is India (65% share), including 17.15K direct visits/mo and — organic search visits/mo.

### Is HydraDB OSS free? What is its pricing model?
HydraDB OSS operates on a Freemium, Contact for Pricing pricing model. The open-source edition is free to self-host with community support. Managed cloud starts around $25/month minimum usage, a Scale tier around $300/month, and an Enterprise plan with custom (contact sales) pricing. Supported billing and checkout platforms include: not listed.

### What are the best HydraDB OSS alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to HydraDB OSS are: 1. Pinecone (286.73K visits/mo); 2. Qdrant (72.99K visits/mo); 3. Polygres (4.02K visits/mo); 4. supermemory (156.58K visits/mo); 5. EverMemOS (24.24K visits/mo).

### Which platforms and core AI capabilities does HydraDB OSS support?
HydraDB OSS is classified under Graph AI, AI Knowledge Graph, AI Agent, AI Knowledge Base, supports the following platforms: Website, and its core capability tags include: Graph database, AI infrastructure, AI agent memory, Context engineering, Knowledge graphs, GraphRAG.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [Pinecone](https://openaitools.app/tool/pinecone) | 286,732 | Freemium, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/hydradb-oss-vs-pinecone) |
| [Qdrant](https://openaitools.app/tool/qdrant-io) | 72,992 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/hydradb-oss-vs-qdrant-io) |
| [Polygres](https://openaitools.app/tool/polygres) | 4,018 | Freemium | [Compare](https://openaitools.app/compare/hydradb-oss-vs-polygres) |
| [supermemory](https://openaitools.app/tool/supermemory-1) | 156,579 | Contact for Pricing | [Compare](https://openaitools.app/compare/hydradb-oss-vs-supermemory-1) |
| [EverMemOS](https://openaitools.app/tool/evermemos) | 24,237 | Free Trial, Free | [Compare](https://openaitools.app/compare/evermemos-vs-hydradb-oss) |
| [Zilliz](https://openaitools.app/tool/zilliz) | 108,886 | Freemium, Paid, Free, Contact for Pricing | [Compare](https://openaitools.app/compare/hydradb-oss-vs-zilliz) |
| [Agentset](https://openaitools.app/tool/agentset) | 6,469 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/agentset-vs-hydradb-oss) |
| [Trieve](https://openaitools.app/tool/trieve) | 1,946 | Contact for Pricing | [Compare](https://openaitools.app/compare/hydradb-oss-vs-trieve) |
| [Honcho](https://openaitools.app/tool/honcho) | 137,752 | Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/honcho-vs-hydradb-oss) |
| [Notion](https://openaitools.app/tool/t) | 173,441,670 | Freemium | [Compare](https://openaitools.app/compare/hydradb-oss-vs-t) |
| [SmythOS](https://openaitools.app/tool/smythos) | 45,165 | Freemium, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/hydradb-oss-vs-smythos) |
| [MindsDB (MindsHub)](https://openaitools.app/tool/mindsdb) | 575 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/hydradb-oss-vs-mindsdb) |

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Source: https://openaitools.app/tool/hydradb-oss