Object-storage native graph database with git-style branching, a typed ontology, and hybrid graph, vector, and full-text retrieval over Lance files.
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
A scalable, distributed, collaborative, document-graph database, for the realtime web
HelixDB is an OLTP graph database with native vector and full-text search built in Rust on Object Storage.
Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.
TerminusDB is a Knowledge Graph Database with Version Control. Time-travel, reason, collaborate, branch, merge, diff, and query your data with Datalog.
Grafeo is a pure-Rust, high-performance graph database that can be embedded as a library or run as a standalone database, with optional in-memory or persistent storage. Grafeo supports both LPG and RDF and all major query languages.
A SQLite extension that adds graph database capabilities with Cypher query language support and built-in graph algorithms.
Graphs for Everyone
JanusGraph: an open-source, distributed graph database
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi-Master), supports SQL, ACID Transactions, Full-Text indexing and Reactive Queries.
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
Apache TinkerPop - a graph computing framework
SPARQL graph database
Awesome Procedures On Cypher for Neo4j - codenamed "apoc" If you like it, please ★ above ⇧
AgensGraph, a high performance transactional graph database based on PostgreSQL
A simple, fast and versatile Datalog database
Neo4j GraphRAG for Python
Open-source graph database superpowers for your existing Postgres data.
Neo4j Bolt driver for Python
Build fast and accurate GenAI apps with GraphRAG SDK at scale 🌟
ATTENTION: This repository is a clone of https://gitlab.structr.com/structr/structr. All development/issue tracking has moved there. | Structr is an integrated open-source low-code development and runtime environment that uses a graph database (Neo4j).
Source code for the Neo4j Graph Data Science library of graph algorithms.
Long-term memory for AI assistants. Graph + vector store that recalls decisions, relationships, and context across sessions.
Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust
Infrahub is a graph-based data management platform with built-in version control, CI workflows, peer review, and API access. It’s purpose-built to power reliable infrastructure automation at scale.
Not another ChatGPT wrapper. This is a local-first tool that turns your notes, web pages, PDFs and audio/video into a personal knowledge graph — running entirely on your own machine.
Design a labeled property graph once. Generate LadybugDB DDL, Neo4j constraints, SHACL shapes and an OWL ontology from it. VS Code extension + CLI.
Universal, evidence-native double-entry accounting system of record in Rust on FrankenGraphDB: bitemporal, append-only with first-class restatements, exact money algebra, counterfactual branches, in-database forensic analytics, outsider-verifiable proofs, and an agent-first CLI/MCP surface for CPAs, regulators, litigators, and investigators.
🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).