IntellAgent is a Python framework that stress-tests conversational AI agents by generating structured adversarial dialogues via policy graph decomposition, helping uncover blind spots before production.
Memary is an open-source memory layer for AI agents using knowledge graphs and recursive retrieval to efficiently store and query agent memories. It supports multi-agent setups and integrates with LlamaIndex and OpenAI.
This repo uses LangChain’s experimental graph transformers with GPT-4o to extract and visualize knowledge graphs from unstructured text, offering a practical LLM-based information extraction pattern.
