AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:

Build fast and accurate GenAI apps with GraphRAG SDK at scale.

An open-source Text2SQL tool that transforms natural language into SQL using graph-powered schema understanding. Ask your database questions in plain English, QueryWeaver handles the weaving.

A tool to build a graph from a codebase

Flexible GraphRAG: Python, LlamaIndex, Docker Compose: 8 Graph dbs, 10 Vector dbs, OpenSearch, Elasticsearch, Alfresco. 13 data sources (9 auto-sync), KG auto-building, schemas, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular frontends, FastAPI backend, REST API, MCP Server. Please 🌟 Star

FalkorDB Python Client

FalkorDB Typescript Client

AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:

FalkorDB-MCPServer is an MCP (Model Context Protocol) server that connects LLMs to FalkorDB

Embedded, zero-config FalkorDB for Python, start a local graph database with no setup.

A remotely accessible Kubernetes home lab with OIDC authentication. Build a modern development environment with integrated data analytics and AI capabilities. Includes an open data stack for data ingestion, transformation, serving, and orchestration.

Transform your Obsidian vault into a powerful knowledge graph with MCP support

Java API for FalkorDB

A Golang client for FalkorDB

A Python utility for building FalkorDB databases from CSV inputs

Tools to migrate dataset from Neo4j. Use it to load to FalkorDB nodes, edges, indexes and constrains. Handles multi-tenant Neo4j graph migration as well.

.NET API for FalkorDB

FalkorDB documentation pages

Library that Extends FalkorDB with pure JavaScript and complex application logic.

A benchmarking tool to evaluate and compare the performance of graph databases with customizable workloads and metrics.