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4D-ARE
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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

by ybeven · GitHub
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agentscausal-reasoningllmMITPython
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Create AI agents that provide explanations for their actions, helping you understand the reasons behind outcomes.

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2026-07-202026-08-31
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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 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.

Frequently asked questions

What is 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

Is 4D-ARE open source?

4D-ARE is an open-source project. It is released under the MIT license.

Is 4D-ARE free?

Yes. 4D-ARE is free and open source — you can use, modify and self-host it.

What license does 4D-ARE use?

4D-ARE is available under the MIT license.

What language is 4D-ARE written in?

4D-ARE is written mainly in Python.

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