WFGY/recognition/README.md

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WFGY System Map · Quick navigation

Problem Maps: PM1 taxonomy → PM2 debug protocol → PM3 troubleshooting atlas · built on the WFGY engine series

Layer	Page	What it’s for
⭐ Proof	WFGY Recognition Map	External citations, integrations, and ecosystem proof · 🔴 YOU ARE HERE 🔴
⚙️ Engine	WFGY 1.0	Original PDF tension engine and early logic sketch
⚙️ Engine	WFGY 2.0	Production tension kernel for RAG and agent systems
⚙️ Engine	WFGY 3.0	TXT-based Singularity tension engine (131 S-class set)
🗺️ Map	Problem Map 1.0	Flagship 16-problem RAG failure taxonomy and fix map
🗺️ Map	Problem Map 2.0	Global Debug Card for RAG and agent pipeline diagnosis
🗺️ Map	Problem Map 3.0	Global AI troubleshooting atlas and failure pattern map
🧰 App	TXT OS	.txt semantic OS with 60-second bootstrap
🧰 App	Blah Blah Blah	Abstract and paradox Q&A built on TXT OS
🧰 App	Blur Blur Blur	Text-to-image generation with semantic control
🏡 Onboarding	Starter Village	Guided entry point for new users

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WFGY Recognition Map · RAG and Agent Ecosystem

Canonical public record of integrations, citations, mentions, and ecosystem proof around WFGY.

Last updated: 2026-03-28 · Manually maintained.

Short summary pages:

• ADOPTERS.md · concise public adoption summary for evaluators and potential collaborators
• WORK_WITH_WFGY.md · collaboration paths, sponsorship, and contributor entry points

Read this page in three layers:

1. strongest public integrations first
2. broader curated-list and ecosystem recognition second
3. open-source support surface and long-tail mentions after that

About this recognition list

This page is the canonical public record of third-party integrations, citations, mentions, and curated-list inclusions related to WFGY.

If you want the short version for fast evaluation, see ADOPTERS.md.
If you want the full ecosystem log, stay on this page.

At the current stage, most external recognition is tied to the WFGY ProblemMap line, especially the RAG 16 Problem Map / 16-problem failure checklist. That is the part most commonly adopted, cited, or adapted by other repositories, docs, and discussions.

This does not mean that every external project on this page is using the full WFGY ecosystem, or every WFGY module equally. In most cases, the recognized entry point is the ProblemMap-style diagnostic framework for RAG, LLM robustness, and reliability workflows.

A smaller portion of entries also references WFGY 3.0 / Singularity Demo and related stress-test material. Since this is still a transition period, they are kept together in one list for simplicity.

This page exists to keep ecosystem recognition in one place, reduce duplication across other docs, and make future updates easier to maintain.

If your repository, article, benchmark, documentation page, or discussion has included WFGY, you are welcome to:

• open a PR
• open an issue
• fork and reference this list
• suggest missing entries or proof links

Contributions are welcome. If you have cited, integrated, adapted, or discussed WFGY in a public resource, feel free to add it here.

Scope note

For accuracy and transparency:

• the majority of entries below are about the WFGY ProblemMap / RAG 16 Problem Map line
• some entries mention broader WFGY 3.0 materials
• this list should be read as a recognition log and ecosystem proof record, not as a claim that all listed projects adopted the full WFGY ecosystem
• this page is the source-of-truth ledger, while ADOPTERS.md is the shorter summary layer
• open-source program support is a parallel trust signal, not the same thing as public adoption

1. Core integrations & research

Project	Stars	Segment	How it uses WFGY ProblemMap	Proof (PR / doc)
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
RAGFlow		Mainstream RAG engine	Introduced a RAG failure modes checklist guide to the RAGFlow documentation via PR, adapted from the WFGY 16-problem failure map for step-by-step RAG pipeline diagnostics.	PR #13204
FlashRAG (RUC NLPIR Lab)		Academic lab / RAG research toolkit	Adapts the WFGY ProblemMap as a structured RAG failure checklist in its documentation. The 16-mode taxonomy is cited to support reproducible debugging and systematic failure-mode reasoning for RAG experiments.	PR #224
DeepAgent (RUC NLPIR Lab)		Academic lab / agent research	Adds a multi-tool agent failure modes troubleshooting note inspired by WFGY-style debugging concepts for diagnosing tool selection loops, tool misuse, and multi-tool workflow failures in agent pipelines.	PR #15
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 (University 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
LightAgent		Agent framework	Incorporates WFGY ProblemMap concepts into its documentation via a Multi-agent troubleshooting (failure map) section, providing a structured symptom → failure-mode → debugging checklist for diagnosing role drift, cross-agent memory issues, and coordination failures in multi-agent systems.	PR #24
OmniRoute		Gateway / routing infra	Adds an optional WFGY 16-problem RAG / LLM failure taxonomy to its official troubleshooting documentation, allowing teams to classify downstream RAG and agent failures with No.1 to No.16 alongside OmniRoute logs when the gateway itself appears healthy.	PR #164

2. High-impact curated lists, benchmarks, and ecosystem discussions

Project	Stars	How it uses WFGY ProblemMap	Proof
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.	PR #520
everything-claude-code		Adds a structured troubleshooting concept for memory, context, and agent workflow failures inspired by WFGY-style debugging ideas. The merged documentation update also closes issue #326, where the original troubleshooting proposal referencing these ideas was introduced.	PR #373
Awesome Data Science – academic		Lists WFGY as a reference for LLM and RAG diagnostic workflows in data science infrastructure.	PR #543
Awesome AI Apps		Lists WFGY 16 Problem Map LLM Debugger under the RAG Applications section as a 16-mode map-based debugger for LLM and RAG bugs, alongside major RAG starter templates and production-ready pipelines.	PR #144
Awesome-AITools		Lists WFGY ProblemMap as an open-source RAG failure-mode checklist and diagnostics toolkit for LLM pipelines (data, embeddings, retrievers, tools, evaluation).	PR #298
Awesome AI in Finance		Lists WFGY as a tool for stress testing and validating RAG-based financial systems.	PR #45
ruoyi-ai		Includes WFGY in its RAG troubleshooting / FAQ guidance as a reference checklist for diagnosing RAG answer inconsistencies and retrieval-related failures in knowledge base workflows.	PR #268
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.	Issue #10
awesome-agentic-patterns		Adds the Reliability Problem Map Checklist for RAG and Agents pattern in the Reliability and Eval category, based on the WFGY ProblemMap and linking back to WFGY as a reliability checklist for RAG-heavy agents.	PR #24
Awesome-GraphRAG		Includes WFGY Problem Map in its curated GraphRAG resource list as a diagnostic toolkit that defines recurring failure modes in RAG and LLM pipelines, supporting systematic triage and remediation.	Issue #17 (event)
Awesome AI Books		Mentions the WFGY TXT and PDF packs in the LLM reading list.	PR #14
Awesome Explainable AI		Lists WFGY among explainable AI tools and resources, referencing it as an open-source framework for analyzing reasoning failures and debugging LLM/RAG systems through structured problem mapping.	Issue #39
awesome-ai-ml-dl		Lists WFGY Problem Map as a structured 16-problem checklist for diagnosing common RAG and LLM failure modes within its curated AI and machine learning resource collection.	PR #163
Awesome-LLM-RAG-Application		Includes WFGY 16 Problem Map as a structured guide for diagnosing retrieval and pipeline failures in RAG applications within its curated list of LLM RAG frameworks and tools.	PR #9
awesome_ai_agents		Lists WFGY as an open-source framework for debugging and stress testing LLMs under long-horizon, high-tension text scenarios, including a TXT-based debugging app for structured sequences to identify where reasoning breaks and retrieval fails.	PR #143
Awesome AI Web Search (discussion 15)		Discusses the 16 mode map as a candidate taxonomy for RAG failure modes in web search agents.	Issue #49
Awesome-AI-Agents		Lists WFGY 16 Problem Map as a framework-agnostic debugging and evaluation checklist for LLM agents and RAG systems, covering common failure modes across retrieval, vector stores, prompts, tools, and deployment workflows.	PR #68

3. Open-source support surface

This support surface is shown lower on purpose.
It is a parallel trust signal, not the same thing as public adoption evidence.

Read this section as ecosystem support, sponsorship, and infrastructure backing.
Do not read it as a claim that these logos are the same thing as adoption, deployment, or product integration.

4. Other public mentions

Project	Stars	How it uses WFGY ProblemMap
awesome-data-analysis		Includes WFGY Problem Map in its curated data science repository list as a MIT-licensed checklist for diagnosing RAG / LLM pipeline failures and improving reliability in AI-driven data workflows.
awesome-gpt-security		Includes WFGY Problem Map in its GPT security resource list as a structured diagnostic handbook that catalogs common failure modes in RAG/agent systems, helping practitioners go from symptom identification to concrete remediation.
machine-learning-repos		Lists WFGY under GitHub resources as an open-source framework for debugging LLM agents and RAG pipelines, highlighting the 16-mode ProblemMap and practical triage checklists.
Awesome AI System		Lists WFGY under LLM robustness and debugging infrastructure.
free-ai-agents-resources		Lists onestardao/WFGY as an open-source framework for debugging and stress testing LLM agents and RAG pipelines, highlighting the 16-problem failure map and reproducible prompt-driven triage workflow.
Awesome-AI		Includes WFGY 16 Problem Map in its RAG resources section, describing it as an open-source diagnostic framework that helps developers debug common failure patterns in LLM and RAG pipelines.
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.
Awesome-Data-Science		Adds WFGY ProblemMap under “Practical Guides & Debugging” as a reference for diagnosing and fixing RAG/LLM pipeline failures.
Awesome-Prompt-Engineering-ZH-CN		Includes WFGY 16 Problem Map in the Tools & Code section as a vendor-neutral failure map for LLM/RAG pipelines, describing the 16 failure modes and minimal recovery strategies in Chinese.
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-Prompt-Engineering		Lists “WFGY 16 Problem Map” in the Key Reading section as a troubleshooting guide for RAG and LLM pipelines.
Awesome-LLM-based-Evaluators		Lists WFGY 3.0 · Singularity Demo and the WFGY ProblemMap in its “Robustness and stress-test resources” section as a TXT-based long-horizon tension reasoning benchmark and failure map for RAG and LLM robustness evaluation.

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5. Star-powered Proof

The WFGY project has been starred by a diverse group of developers, maintainers, and ecosystem contributors.
Stars are not the same as technical integrations or formal citations, but they show who cared enough to follow WFGY and keep an eye on its work.

This section highlights some early and notable “Star Gators” who starred the project in its first growth waves.

Explore the full list of notable supporters:

👉 Star Gators · notable stargazers

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6. Community Works (open PRs)

This is a community showcase for projects, demos, websites, tutorials, translations, and integrations built with WFGY ideas.
Small projects are welcome. There is no star requirement.

Submission requirements:

1. Public link
2. One sentence explaining which WFGY part you used
3. A proof link or a verifiable reference
4. Language tag (EN / ZH / Bilingual / others)

Disclaimer:
Entries here are community submissions and do not imply endorsement.

Project	Type	Language	Link	What it does with WFGY	Proof	Credit
WFGY 3.0 UI (S131 Problem Browser)	website	ZH	scyprodigy.github.io/wfgy-scy	A Traditional Chinese UI prototype that visualizes and lets users browse the WFGY 3.0 "131 S-Class Problems" set (work in progress).	live demo	scyprodigy
Dungeon Master OS	project	EN	github.com/djnightmare9909/Dungeon-master-OS-	An experimental system exploring WFGY-style structured reasoning for worldbuilding, scenario design, and interactive narrative workflows.	repo	djnightmare9909

🤝 Contributing

If you find a public repository, benchmark, article, doc page, course page, or discussion that includes WFGY, you are welcome to help keep this list accurate.

You can contribute by:

• adding a missing entry
• updating an outdated description
• attaching a better proof link
• correcting categorization
• submitting a PR with a new citation or integration

Forks and PRs are welcome. If your project includes WFGY in any public form, feel free to add it to this recognition list with a short description and a verifiable link.