#Graph-database
Showing 60 of 63 repositories tagged #graph-database, ranked by stars
A scalable, distributed, collaborative, document-graph database, for the realtime web
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
An open-source graph database
HelixDB is an OLTP graph-vector database built in Rust on Object Storage.
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).
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
小型金融知识图谱构建流程（neo4j / python / cypher / KG）
A graph database written in rust
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
The semantic deployment platform.
Neo4j GraphRAG for Python
Neo4j Bolt driver for Python
Build fast and accurate GenAI apps with GraphRAG SDK at scale 🌟
G6VP is an online visual analysis tool for graphs and a low-code platform for building graph applications.
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).
Lakehouse native graph engine with git-style workflows
AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:
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.
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust
Open-source graph database superpowers for your existing Postgres data.
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.
Helical Insight software is world’s first Open Source Business Intelligence framework which helps you to make sense out of your data and make well informed decisions.
Analyze Data with Pandas-based Networks. Documentation:
A code-graph demo using GraphRAG-SDK and FalkorDB
RushDB is a graph + vector database and memory layer for AI agents. Push any JSON, get typed, searchable, relationship-aware records back — no schema, no migrations. Built on Neo4j.
VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware retrieval, and verifiable attribution over your own data. Nodes, edges, RDF, linked-data — runs locally or in the cloud.
Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent, human-like memory and recall to any model in minutes.
🎉 A curated collection of useful links, tutorials, and resources for the AnyType app – a knowledge management and organization tool. Explore guides, templates, and community-contributed content to enhance your experience with AnyType.
A Python client for the Neo4j Graph Data Science (GDS) library
LeanKG: Stop Burning Tokens. Start Coding Lean.
🍽️基于图RAG技术的AI美食推荐助手 - Datawhale all-in-rag教程实战案例，集成Neo4j图数据库、Milvus向量检索与智能对话系统
High-performance Knowledge Graph engine for AI, LLMs, and GraphRAG — built for the next generation of intelligent applications.
FalkorDB-Browser is a visualization UI for FalkorDB.
Kappa Graph — κ(G). A semantic knowledge graph where knowledge has weight. Extracts concepts, measures grounding strength, preserves disagreement, traces everything to source.
Graph database native to the cloud. Embedded, multi-tenant, built on object storage.
GibRAM is an in-memory knowledge graph server designed for retrieval augmented generation (RAG / GraphRAG) workflows.
Kubernetes controller for managing instances of SpiceDB
TigerLily: Finding drug interactions in silico with the Graph.
Google's Zanzibar paper annotated for folks outside of Google
The local-first memory engine for AI agents. One offline Rust binary fuses vector + graph + columnar under SQL — remember / recall / why over the Model Context Protocol. why() reconnects a decision to its context across sessions, where pure vector recall (Mem0/Zep) goes blind. Runs on server, laptop, browser, edge. Zero cloud.
Open Source Tool - Cybersecurity Graph Database in Neo4j
Machine Learning Procedures and Functions for Neo4j
Neo4j Tableau Integration via WDC
A SPARQL database, RDF Stream Processing Engine and RDF toolkit, supporting Neurosymbolic Stream Reasoning
AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:
PostgreSQL-compatible SQL, graph, and vector database built from scratch in Rust.
ICIJ #Fincen Files in Neo4j
Local-first semantic version control for AI-native teams. Git stores text history. Kin understands code.
Let’s build a curated Knowledge Graph based on the collective wisdom of 260+ experts
Persistent memory graph for AI agents. Facts, decisions, entities, and relationships that survive across sessions, tools, and providers. MCP server — works with Claude, Cursor, ChatGPT, and any MCP client.
NebulaGraph Queries and visualization in Jupyter notebook.(previously known as ipython-ngql)
2016 OSMI Survey results in Neo4j
🔍 Gitsint is a cutting-edge OSINT platform designed for security researchers, threat intelligence teams, and developers. Uncover hidden connections, detect exposed secrets, and map digital footprints across GitHub's vast ecosystem.
Lightweight in-memory knowledge graph with Cypher query support
Knowledge graph + MCP tool server for LLM agents with hybrid retrieval, live DB sync, Korean FTS, and memory feedback.
Learn to use Memgraph with the help of Jupyter Notebooks
A python wrapper to call Neo4j Graph Data Science procedures from python using the Neo4j python driver
Persistent memory MCP server for AI agents — Rust, 19 tools, knowledge graph, Hebbian learning, episodic memory, contradiction detection, prospective triggers, Bayesian calibration, zero-config Docker setup.
Example code to create high-quality knowledge graphs using entity resolution with Kuzu and Senzing