Embedded, scalable, blazing fast graph database

The easiest way to manage knowledge graphs and vectors.

Products

Trusted by

Open Source

In-process architecture
High performance at scale
Graph-native features
AI and Data ecosystem integration
MIT-licensed

Enterprise Edition

All open source features
Standalone server deployment
Enterprise security
Observability
Data backup and recovery

Kuzu at a Glance

Runs in-process

Embedded, no external servers. Stores on-disk or in-memory

Fast and Scalable

Columnar storage, vectorized processing, and novel join algorithms

Learn more

Cypher

Property graph data model with Cypher query language support

Full-featured

Graph-native full-text search index, HNSW vector index, algorithms package, and more

AI and Data Ecosystem

Works with LangChain, PyTorch Geometric, LlamaIndex, Pandas, Parquet, Iceberg, and more

Open-source

Free and open-source (MIT licensed) with support options

Install Kuzu

pip install kuzu

npm install kuzu

brew install kuzu

https://github.com/kuzudb/kuzu/releases/download/v0.11.0/kuzu_cli-windows-x86_64.zip

x86-64: https://github.com/kuzudb/kuzu/releases/download/v0.11.0/kuzu_cli-linux-x86_64.tar.gz
aarch64: https://github.com/kuzudb/kuzu/releases/download/v0.11.0/kuzu_cli-linux-aarch64.tar.gz

https://github.com/kuzudb/kuzu/releases/download/v0.11.0/libkuzu-osx-universal.tar.gz

https://github.com/kuzudb/kuzu/releases/download/v0.11.0/libkuzu-windows-x86_64.zip

x86-64: https://github.com/kuzudb/kuzu/releases/download/v0.11.0/libkuzu-linux-x86_64.tar.gz
aarch64: https://github.com/kuzudb/kuzu/releases/download/v0.11.0/libkuzu-linux-aarch64.tar.gz

cargo add kuzu

go get github.com/kuzudb/go-kuzu

https://central.sonatype.com/artifact/com.kuzudb/kuzu

.package(url: "https://github.com/kuzudb/kuzu-swift/", branch: "v0.11.0")

npm install kuzu-wasm

Version: 0.11.0

Support & Consultancy

Kùzu Inc. provides professional support and consultancy for using Kuzu in agentic memory, graph AI as well as other domains that use knowledge graphs.

Community Support

Public issue tracker
No guaranteed response time
No guaranteed resolution

Custom Support & Consultancy

Deployment advice
Feature prioritization
Use case-specific advice and custom development

Join Our Community

🚀 Build Real-Time Knowledge Graphs with kuzudb + LLMs. Production-grade, ultra-performant, step-by-step. ✅ Kuzu: high-performance graph DB, written in C++ Perfect for anyone building a real-time knowledge base.

Linghua Jin

Founder of CocoIndex

Stop guessing. Start asking your data bigger questions Most teams still scrape through text looking for keywords, hoping to stitch together some insight. But that approach misses the real shape of your domain ⇒ With a graph database like Kuzu, you actually map how everything connects—people, processes, decisions

Todd Larsen

CTO of AcreHedge Inc.

We were looking for an in-process graph database to run lineage queries: Kuzu is very fast and has great foundations as the team behind it, and handles all the strange inferences we throw at it.

Jacopo Tagliabue

Founder of Bauplan Labs

Ever wish your AI could show its work instead of guessing in a black box? With graph databases like Kuzu and AI-generated Cypher queries, you get exactly that.

Nick Talwar

CTO of Bottega8, Ex-Microsoft

Embedded DBs are having a renaissance. RDBMS: SQLite OLAP: DuckDB Graph: KuzuDB Search: Chroma The developer experience is so good on these. Things just work. Really cool to see.

Chris Riccomini

Software Engineer, Author, Investor, Advisor

1. KuzuDB seems faster than Neo4j across the board! (Upto 188x). 2. Features like vectorized query execution, morsel-driven parallelism, worst-case optimal joins, and factorized execution perhaps contribute to this. 3. Embeddability is a big usability win.

ttanay666

HackerNews

Knowledge graphs are infinitely better than vector search for building the memory of AI agents. With five lines of code, you can build a knowledge graph with your data. When you see the results, you'll never go back to vector-mediocrity-land.

Santiago Valdarrama

Founder of Tideily