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. ⚖️

• 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

• WFGY 1.0 — Foundations & Theory 📚

  The original mathematical playbook behind WFGY.
  Formulas, tension language, and the first self-healing framework.
  ➔ Legacy Theory

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! ⭐

WFGY has been recognized and integrated by leading open-source curated lists and research frameworks, serving as a reference for LLM robustness, RAG diagnostics, and system reliability.

• ToolUniverse – Harvard MIMS Lab – LLM tools benchmark; WFGY listed in the robustness / RAG debugging section.
• Rankify – Univ. of Innsbruck Data Science Group – Academic RAG toolkit; merged RAG / re-ranking troubleshooting docs.
• Multimodal RAG Survey – QCRI LLM Lab – Survey repo curating multimodal RAG literature and benchmarks.
• Awesome Data Science – academic – Curated data science list including WFGY as an LLM / RAG diagnostic reference.
• Awesome AI in Finance – Research list for LLM / RAG stress-testing, validation, and deployment.
• AI Agents for Cybersecurity – Uses the WFGY 16-mode ProblemMap for practical RAG failure modes.
• Awesome AI Tools – Index for debugging complex LLM agents and production RAG pipelines.
• Awesome AI System – Listed under LLM robustness and debugging infrastructure for systems.
• Awesome Artificial Intelligence Research – Included in the NLP reliability / system debugging research index.
• Awesome AI Books – Part of the LLM reading list for TXT / PDF methodology and practice.
• Awesome AI Web Search – Discussion on RAG failure-mode taxonomy and emerging candidate standards featuring WFGY.

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.