AI Agent Skills

Build Real-Time Knowledge Graphs for AI Agents

Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

EdegQuake 🌋 High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into intelligent knowledge graphs for superior retrieval and generation

[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)

StellarGraph - Machine Learning on Graphs

Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Z…

GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from docume…

Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHAC…

Create knowledge graphs with LLMs

LLM-KG4QA: Large Language Models and Knowledge Graphs for Question Answering

A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre assembly. Not a wrapper, a gro…