WFGY
An open-source AI troubleshooting atlas and avatar runtime for diagnosing and fixing RAG, agent, and real-world AI workflow failures.
What is WFGY?
WFGY is an open-source AI troubleshooting atlas and ecosystem designed to diagnose and fix failures in Retrieval-Augmented Generation (RAG), AI agents, and real-world AI workflows. It provides structured problem maps, debug cards, and a governed avatar runtime to help developers systematically address AI pipeline issues. The project evolves through numbered versions, with WFGY 5.0 Avatar serving as the flagship runtime for engineered language interaction.
AI engineers, ML practitioners, and developers building or maintaining RAG systems, AI agents, and complex language-based workflows who need diagnostic tools for production failures.
Developers choose WFGY for its structured, practical approach to AI troubleshooting, combining verifiable diagnostics with a governed runtime for language avatars, all backed by public proof of adoption and reproducibility.
Overview
WFGY is an open-source AI Troubleshooting Atlas for RAG, agents, and real-world AI workflows. Includes the 16-problem map, Global Debug Card, and WFGY 4.0. ⭐ Star to help more builders find this repo.
Use Cases
Best For
- Diagnosing and fixing broken RAG pipelines in production
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
