Memory for AI Agents in 6 lines of code

Neo4j Bolt driver for Python

Neo4j GraphRAG for Python

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.

Neo4j Movies Example application with Flask backend using the neo4j-python-driver

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.

Python toolkit for building graph-enhanced GenAI applications

Micro Graph Database for Python. Lives inside your Python process. Quick setup. No server. Runs in notebooks, apps, even your browser.

[ACL 2024] Official resources of "ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models".

Analyze Data with Pandas-based Networks. Documentation:

GQLAlchemy is a library developed with the purpose of assisting in writing and running queries on Memgraph. GQLAlchemy supports high-level connection to Memgraph as well as modular query builder.

TopicDB is a topic maps-based semantic graph store (using SQLite for persistence)

Arches is a web platform for creating, managing, & visualizing geospatial data. Arches was inspired by the needs of the Cultural Heritage community, particularly the widespread need of organizations to build & manage cultural heritage inventories

Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent, human-like memory and recall to any model in minutes.

Python Driver for ArangoDB with built-in validation

A Python client for the Neo4j Graph Data Science (GDS) library

Play detective on Reddit: Discover political disinformation campaigns, secret influencers and more

Python package for an open-source graph database Cayley

Implementation of the Cypher language for searching NetworkX graphs