What data can I put in?

JSON from applications, pipelines or agents including nested documents, arrays of records, events and payloads whose shape changes over time. Types are inferred per value and nested objects become linked records, with no schema to declare or migrate first.

Do I have to commit to a model or agent framework?

No. RushDB stores data, not prompts. Any model or framework can use it through TypeScript and Python SDKs, the MCP server, or HTTP. The self-hosted engine also speaks SQL over PostgreSQL wire protocol. Changing models does not move your data.

Is it a vector database?

It includes vector search (exact and HNSW), BM25 full-text search and hybrid search combining both, but vectors live on ordinary records with typed fields and relationships. One query can filter, traverse and rank instead of syncing a copy into a separate vector store.

What is the difference between the engine and RushDB Cloud?

The engine is the open-source database (Apache-2.0, single Rust binary) you self-host. RushDB Cloud runs the same engine managed for you and adds managed embeddings, natural-language search, relationship suggestions, hosted MCP with OAuth and team access. On self-hosted you bring your own embedding vectors.

What does “Database for AI” mean?

RushDB is a database: it stores records, relationships, and search indexes, with transactions and durable storage. “For AI” means two things it does for agents. Every write updates an exact catalog of labels, fields, types, values, and relationship shapes. And the same catalog can be read for just the records a filter matches. An agent can check both before it writes a query.

Databases & backend

RushDB

Open-source database for AI agents with self-describing schema

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0community votes
10DR by Ahrefs no change since last check

Ahrefs Domain Rating listed 6 Nov 2026, relisted 5 Nov 2026.

What it is

RushDB: the homepage

RushDB is a database designed for AI agents and applications. It stores records with relationships and search indexes in a single Rust process. The key feature is a self-describing schema: as data is written, the database maintains an exact catalog of every label, field, type, value and relationship shape. Agents can read this catalog before querying, eliminating guesswork about what data exists.

The database accepts nested JSON documents, automatically linking nested objects as related records. It supports multiple query languages including SQL, openCypher, Gremlin and ISO GQL, all operating on the same data snapshot. Search capabilities include vector indexes (exact and HNSW), BM25 full-text search, and hybrid search combining both.

RushDB is available in two forms: a free open-source engine (Apache 2.0) you self-host as a single Rust binary, or RushDB Cloud, a managed service adding features like managed embeddings, natural-language search, relationship suggestions and team access. Both use the same underlying engine.

Listed capabilities

Schema catalog automatically updated on every write with exact field names, types, values and relationship shapes
Nested JSON documents converted to linked records in a single commit
Multiple query languages: SQL, openCypher, Gremlin, ISO GQL, Mongo-style and native SearchQuery on same data
Hybrid search combining vector (exact and HNSW) and BM25 full-text indexes in one query
PostgreSQL and Neo4j protocol compatibility via wire protocols
MVCC snapshot isolation for concurrent reads and writes
Atomic transactions with write-ahead log durability
Single Rust binary deployment with no additional services required
RushDB Cloud managed service with embeddings and MCP hosting
TypeScript and Python SDKs plus gRPC and HTTP APIs

Pricing

Pricing model: Freemium

Free plan: 1 GB storage, 3 projects, 1 seat, 200 Smart Searches/month, 1M embedding tokens/month. Pro: $49/month, 20 GB storage then $0.50/GB-month, 10 projects then $3/month each, 3 seats then $15/month each, 2,000 Smart Searches/month then $5 per 1K, 25M embedding tokens/month then $0.20 per 1M. T

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RushDB metrics

Listed metrics for rushdb.com: Ahrefs Domain Rating and Majestic links, with the change since the list was last updated.
Metric	Value
Domain Rating	10 no change since last check
Trust Flow	4 no change since last check
Citation Flow	23 no change since last check
Referring domains	66 no change since last check
External backlinks	299 no change since last check

Ahrefs Domain Rating listed 6 Nov 2026, relisted 5 Nov 2026. Listed under topic: Computers/Data Formats (4). Majestic listed 5 Nov 2026, relisted 5 Nov 2026. Link data listed by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

RushDB domain listing data

Show the listing data

Checked 5 Nov 2026, 19:50 UTC against the registry's public RDAP data.
Domain age	2 years
Registered	17 Oct 2024
Expires	17 Oct 2027
Registrar	NameCheap, Inc.
DNSSEC	Not signed

Full list of rushdb.com's details

RushDB launch receipt entry

What we have measured for RushDB since it went live on SaaS Directory List on 5 November 2026.
Measure	At launch, then latest
Domain Rating (Ahrefs)	10 first measured 5 Nov 2026
Trust Flow (Majestic)	4 first measured 5 Nov 2026
Referring domains (Majestic)	66 first measured 5 Nov 2026

Day 0 since launch. Next receipt: day 30, 5 Dec 2026. We show what changed, not what caused it: many things affect these numbers. Nothing here is estimated.

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Quick answers

What data can I put in?
JSON from applications, pipelines or agents including nested documents, arrays of records, events and payloads whose shape changes over time. Types are inferred per value and nested objects become linked records, with no schema to declare or migrate first.
Do I have to commit to a model or agent framework?
No. RushDB stores data, not prompts. Any model or framework can use it through TypeScript and Python SDKs, the MCP server, or HTTP. The self-hosted engine also speaks SQL over PostgreSQL wire protocol. Changing models does not move your data.
Is it a vector database?
It includes vector search (exact and HNSW), BM25 full-text search and hybrid search combining both, but vectors live on ordinary records with typed fields and relationships. One query can filter, traverse and rank instead of syncing a copy into a separate vector store.
What is the difference between the engine and RushDB Cloud?
The engine is the open-source database (Apache-2.0, single Rust binary) you self-host. RushDB Cloud runs the same engine managed for you and adds managed embeddings, natural-language search, relationship suggestions, hosted MCP with OAuth and team access. On self-hosted you bring your own embedding vectors.
What does “Database for AI” mean?
RushDB is a database: it stores records, relationships, and search indexes, with transactions and durable storage. “For AI” means two things it does for agents. Every write updates an exact catalog of labels, fields, types, values, and relationship shapes. And the same catalog can be read for just the records a filter matches. An agent can check both before it writes a query.

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