AgensGraph, a high performance transactional graph database based on PostgreSQL
Distributed, transactional document database backed by FoundationDB.
Expert SurrealDB 3 skill for AI coding agents (Claude, Codex, Amp, Gemini CLI, Copilot, Cursor). SurrealQL, multi-model data modeling, graph queries, vector search, WASM extensions, and full ecosystem.
A Python driver for AgensGraph Multi-Model Database
A Java driver for AgensGraph Multi-Model Database
A NodeJS driver for AgensGraph Multi-Model Database
⚡ High-performance multi-model knowledge graph database written in Rust. SQL, Cypher & Gremlin queries · 11 graph algorithms · AI/ML with HNSW vectors · REST API · Zero GC · Blazingly fast.
Go driver support for AgensGraph with github.com/lib/pq
KWDB is a distributed multi-model database tailored for AIoT scenarios. It supports the concurrent creation of time-series and relational databases within the same instance and the integrated processing of multi-model data. KWDB can process time-series data with high efficiency.
A Minimal Yet Powerful DB Engine
AgensGraph database visualisation tool
An implementation of MMQL, a multi-model query language I created.
AgensGraph, a transactional graph database based on PostgreSQL
This repository contains the instructions of the second hands-on session in our DW&BI course.
Reference catalog for graph databases, knowledge graphs, RDF/SPARQL stores, and vector-search support.
This is a test repository.
A simple multi-model NoSQL database, queried with GraphQL
Unified multi-model storage engine integrating leveled LSM-tree key-value persistence, dynamic CSR graph adjacency topologies, and SIMD HNSW vector nearest-neighbor search under snapshot isolation.
Beyond NoSQL. CleaveDB combines document storage, intelligent graph bonds, vector search, and distributed clustering with CleaveQL—an expressive query language for connected, semantic, and structured data.
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