onestardao/WFGY

WFGY: open-source reasoning and debugging infrastructure for RAG and AI agents. Includes the 16-problem RAG failure map, Global Debug Card, and the WFGY 3.0 TXT stress-test engine. ⭐ Star if you care about reliable reasoning and system-level alignment.

67
/ 100
Established

This project offers an open-source framework for building and managing 'language selves' or AI avatars, which are dynamic, reusable AI entities. It helps users define and control their AI's behavior across different interactions and tasks. The target users are AI system developers or engineers responsible for creating and maintaining reliable AI agents and RAG pipelines.

1,620 stars. Actively maintained with 551 commits in the last 30 days.

Use this if you are developing or managing AI agents or RAG systems and need robust tools to diagnose, debug, and govern their reasoning and behavior.

Not ideal if you are looking for a simple, plug-and-play AI writing tool or a basic prompt collection, as this is a deeper infrastructure project.

AI agent development RAG system troubleshooting AI system governance AI behavior engineering language model debugging
No Package No Dependents
Maintenance 22 / 25
Adoption 10 / 25
Maturity 15 / 25
Community 20 / 25

How are scores calculated?

Stars

1,620

Forks

146

Language

Jupyter Notebook

License

Last pushed

Mar 13, 2026

Commits (30d)

551

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/onestardao/WFGY"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.