Memory for AI Agents in 6 lines of code
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Updated
Oct 19, 2025 - Python
Memory for AI Agents in 6 lines of code
Neo4j Bolt driver for Python
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.
[ACL 2024] Official resources of "ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models".
Micro Graph Database for Python Applications
Analyze Data with Pandas-based Networks. Documentation:
Python toolkit for building graph-enhanced GenAI applications
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
Python Driver for ArangoDB with built-in validation
A Python client for the Neo4j Graph Data Science (GDS) library
Python package for an open-source graph database Cayley
Toolkit for graph-relational data across space and time
Your favorite Python graph libraries, scalable and interoperable. Graph databases in memory, and familiar graph APIs for cloud databases.
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