ybeven/4D-ARE
Build LLM agents that explain why, not just what. Attribution-driven agent requirements engineering framework. Based on the 4D-ARE Paper - https://arxiv.org/abs/2601.04556
This tool helps business analysts and operations managers understand 'why' certain outcomes occur, rather than just 'what' happened. You input your business metrics and operational data, organized into results, process, support, and long-term factors. It then provides a detailed explanation of the causal chain behind a problem, such as declining customer retention, helping you pinpoint the root causes.
181 stars.
Use this if you need clear, causal explanations for business performance issues and want to build AI agents that can explain 'why' instead of just listing metrics.
Not ideal if you're looking for a tool that automatically recommends specific actions without needing context about the causal dimensions of your problem.
Stars
181
Forks
19
Language
Python
License
MIT
Category
Last pushed
Jan 09, 2026
Commits (30d)
0
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