The WFGY Ecosystem
We build WFGY, a verification-first reasoning engine for LLMs.
One architecture, different depths--not different product lines.
WFGY 1.0, 2.0, and 3.0 represent a continuous evolution.
Over a year of focused development, now fully Open Source under the MIT License.
Entry Points (Choose your depth)
-
WFGY 3.0 -- The Frontier (New Release)
The flagship tension reasoning engine running on a 131 S-class backbone.
If it works, nothing before it matters. Test it on your hardest questions first.
Singularity Demo -
WFGY 2.0 -- Engineering & Production
The production tension kernel + 16-mode Failure Map
for real-world RAG stacks, vector stores, and deployment chaos.
Core Engine * 16 Problem Map * Global Debug Card -
WFGY 1.0 -- Foundations & Theory
The original mathematical playbook behind WFGY.
Formulas, tension language, and the first self-healing framework.
Legacy Theory
Getting Started
If you're new and wondering where to begin, start here:
Starter Village Quickstart
Unlike traditional tools, WFGY is an ecosystem of "fix-first" reasoning components.
Everything here was built because a real-world system broke first.
Thank you to everyone who tested, debugged, and grew with us. More artifacts and experiments are on the way. If WFGY helps your workflow, please consider giving us a star!
Recognition & Ecosystem Integration
WFGY has been recognized and integrated by mainstream RAG frameworks, academic labs, and curated open-source lists, and is increasingly used as a reference for LLM robustness, RAG diagnostics, and system reliability.
1. Core integrations & research
| Project | Stars | Segment | How it uses WFGY ProblemMap | Proof (PR / doc) |
|---|---|---|---|---|
| RAGFlow | Mainstream RAG engine | Adds a RAG failure modes checklist guide in its official docs, adapted from the WFGY 16-problem failure map for step-by-step RAG pipeline diagnostics. | PR #13204 | |
| LlamaIndex | Mainstream RAG infra | Integrates the WFGY 16-problem RAG failure checklist into its official RAG troubleshooting docs as a structured failure mode reference. | PR #20760 | |
| ToolUniverse (Harvard MIMS Lab) | Academic lab / tools | Provides a WFGY_triage_llm_rag_failure tool that wraps the 16 mode map for incident triage. |
PR #75 | |
| Rankify (Univ. of Innsbruck) | Academic lab / system | Uses the 16 failure patterns in RAG and re-ranking troubleshooting docs. | PR #76 | |
| Multimodal RAG Survey (QCRI LLM Lab) | Academic lab / survey | Cites WFGY as a practical diagnostic resource for multimodal RAG. | PR #4 |
2. Curated lists & discussions
| Project | Stars | How it uses WFGY ProblemMap |
|---|---|---|
| Awesome LLM Apps | Includes the RAG Failure Diagnostics Clinic tutorial, designed by the WFGY author as a small, framework-agnostic clinic built around the WFGY 16-problem failure map for hands-on RAG debugging. | |
| Awesome Data Science - academic | Lists WFGY as a reference for LLM and RAG diagnostic workflows in data science infrastructure. | |
| Awesome-AITools | Lists WFGY ProblemMap as an open-source RAG failure-mode checklist and diagnostics toolkit for LLM pipelines (data, embeddings, retrievers, tools, evaluation). | |
| Awesome AI in Finance | Lists WFGY as a tool for stress testing and validating RAG-based financial systems. | |
| Awesome GPT Super Prompting | Includes onestardao/WFGY under Secure Prompting as a structured 16 failure-mode map for RAG and agent pipelines, including prompt injection patterns with practical mitigation checklists. | |
| awesome-agentic-patterns | Adds the Reliability Problem Map Checklist for RAG and Agents pattern in the Reliability & Eval category, based on the WFGY ProblemMap and linking back to WFGY as a reliability checklist for RAG-heavy agents. | |
| Awesome AI Books | Mentions the WFGY TXT and PDF packs in the LLM reading list. | |
| Awesome AI Web Search (discussion 15) | Discusses the 16 mode map as a candidate taxonomy for RAG failure modes in web search agents. | |
| Awesome AI System | Lists WFGY under LLM robustness and debugging infrastructure. | |
| Awesome AI Tools | Includes WFGY as an open-source framework for debugging LLM agents and RAG pipelines. | |
| LLM-Agent-Benchmark-List | Lists WFGY 3.0 * Singularity Demo (BlackHole-131) as a long-horizon, text-only stress test for LLM agents, covering 131 S-class problems for tension-based reasoning and robustness evaluation. | |
| AI Agents for Cybersecurity | References the 16 mode map as a debugging guide for RAG-heavy security agents. | |
| Awesome Artificial Intelligence Research | Links to WFGY in the NLP section as a project on LLM robustness, debugging, and reliability. | |
| Awesome-LLM-based-Evaluators | Lists WFGY 3.0 * Singularity Demo and the WFGY ProblemMap in its "Robustness & stress-test resources" section as a TXT-based long-horizon tension reasoning benchmark and failure map for RAG / LLM robustness evaluation. |
Join the Discussion
If you want to follow along more closely, ask questions, or challenge ideas as they evolve, join our community across these platforms:
- Discord - Join our Server -- Real-time chat & collaboration.
- Reddit (WFGY) - r/WFGY -- [Early Access] Freshly launched; help us build the foundation.
- Reddit (Tension Universe) - r/TensionUniverse -- [Early Access] Brand new; be among the first to explore.
If you maintain an AI system, research project, or infra stack and want to explore deeper collaboration around WFGY, feel free to reach out or open an issue.