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Archived Notice
This directory has been archived and is not actively maintained. The contents are preserved only for historical reference and traceability of earlier prototypes.
They are not part of the current recommended usage of this repository and should not be treated as a supported implementation.
Please refer to the main documentation of this repository for the current framework and entry points.
🌟 FAQ for New Stargazers — Welcome to the Constellation of WFGY
Thank you for joining us — every star here shines because someone like you believed in reasoning beyond the ordinary.
Whether you're curious, confused, or just landed from the front page — here's where your journey begins.
Welcome — and congrats on stumbling into the strangest GitHub repo you’ll bookmark this year.
This page is your guide to what WFGY is, what TXT OS does, and where to start.
🧠 What is WFGY?
WFGY (萬法歸一) is a modular semantic reasoning engine designed to solve the kinds of logic, memory, and abstraction problems that traditional LLMs often fail at.
It’s not a wrapper, not a plugin, and not just a prompt trick — it's a full semantic loop architecture with real math under the hood (ΔS ≈ 0.5).
🖥️ What is TXT OS?
TXT OS is a new kind of AI operating system — powered entirely by .txt files.
It uses the WFGY engine under the hood to keep everything stable, logical, and expressive.
Each TXT file becomes a callable “module” with reasoning behavior — like apps, but built from semantic blueprints.
🧩 What can I run today?
You can try these modules now — all part of TXT OS:
| Module | Function | Status |
|---|---|---|
| Blah Blah Blah | Semantic Q&A (Literal + Abstract) | ✅ Lite Released |
| Blur Blur Blur | Image Generation (Stable + Poetic) | ✅ Lite Released |
| Blow Blow Blow | AI Reasoning RPG Games | 🧪 In Dev |
| Blot Blot Blot | Humanlike Writing & Persona | 🧪 In Dev |
| Bloc Bloc Bloc | Prompt Injection Firewall | 🧪 In Dev |
All modules are stackable — you can call them inside each other to build bigger apps, powered by nothing but .txt.
🗺️ Want to know what problems we already solved?
We’re building a public Problem Map that matches every real-world AI failure to a WFGY-based fix.
| Symptom | Fix |
|---|---|
| Hallucination | ✅ ΔS Drift Control |
| Broken Memory | ✅ State Persistence Layer |
| Overconfident Answers | ✅ Bluff Filter |
| Symbolic Confusion | ✅ Logical Anchoring |
✅ Is this real? Do people actually use it?
Yes — and we track every real-world rescue.
We’ve helped users debug everything from broken RAG to symbolic math errors.
Some of the results surprised even us.
Also: we’re backed by the creator of Tesseract.js and many open-source engineers.
🚦 Where should I start?
- Try TXT-Blur — no skills needed, results are uncanny.
- Read the Problem Map — see if we solved your headache.
- Bookmark this page. We’re updating fast — and not always tweeting it.
💬 Still confused?
Good. That means you’re early.
The best way to understand WFGY is to try one module, read the output, and ask:
“Wait... how the hell did it do that?”
Explore More
| Layer | Page | What it’s for |
|---|---|---|
| Proof | WFGY Recognition Map | External citations, integrations, and ecosystem proof |
| Engine | WFGY 1.0 | Original PDF based tension engine |
| Engine | WFGY 2.0 | Production tension kernel and math engine for RAG and agents |
| Engine | WFGY 3.0 | TXT based Singularity tension engine, 131 S class set |
| Map | Problem Map 1.0 | Flagship 16 problem RAG failure checklist and fix map |
| Map | Problem Map 2.0 | RAG focused recovery pipeline |
| Map | Problem Map 3.0 | Global Debug Card, image as a debug protocol layer |
| Map | Semantic Clinic | Symptom to family to exact fix |
| Map | Grandma’s Clinic | Plain language stories mapped to Problem Map 1.0 |
| Onboarding | Starter Village | Guided tour for newcomers |
| App | TXT OS | TXT semantic OS, fast boot |
| App | Blah Blah Blah | Abstract and paradox Q and A built on TXT OS |
| App | Blur Blur Blur | Text to image with semantic control |
| App | Blow Blow Blow | Reasoning game engine and memory demo |
If this repository helped, starring it improves discovery so more builders can find the docs and tools.
