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
Create AI agents that provide explanations for their actions, helping you understand the reasons behind outcomes.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeBuild 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
4D-ARE has 181 stars on GitHub. It has been forked 19 times. 4D-ARE is written mainly in Python. It has been in active development since 2026. 4D-ARE is available under the MIT license. Its main topics are agents, causal-reasoning, llm, mcp.
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
4D-ARE is an open-source project. It is released under the MIT license.
Yes. 4D-ARE is free and open source — you can use, modify and self-host it.
4D-ARE is available under the MIT license.
4D-ARE is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/ybeven-4d-are.html)