Vibe Coding Discover4D-ARE
View on GitHubBuild 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
A Python framework for designing LLM agents that explain outcomes through causal chains across results, processes, resources, and long-term context. Includes customizable domain templates, authority boundaries, a CLI, and MCP data integrations.
Use Cases
Trace causes behind declining customer retentionAnalyze business metrics across operational dimensionsBuild domain-specific analytics agentsConnect agents to MySQL, PostgreSQL, or Excel data
Built With
- Language
- Python
- Frameworks
- OpenAI API · Pydantic · MCP
Tags
LLM agents · causal reasoning · attribution · requirements engineering · MCP · domain templates · decision boundaries