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📐 SemanticBlueprint — Core Functions of the WFGY Engine
Designing the Logic That Holds the Universe Together."
This directory documents the function-level logic of the WFGY Engine.
Each file here represents a specific reasoning capability or symbolic intervention unit.📌 Function → Product mapping appears only as side-notes.
(The inverse view — Product → Function — is handled in each product's own directory likeTXT OS,Blur,Blow, etc.)
📘 What This Directory Is For
This folder exists to define core reasoning modules behind WFGY's performance.
Each .md file here details:
- The conceptual function logic (symbolic or mathematical)
- The AI reasoning failure it solves
- The formulaic or structural intervention behind it
- Which product(s) internally rely on it (as annotations only)
It serves as a developer-facing function reference map,
so contributors can trace each feature’s reasoning upgrade back to its engine roots.
🔒 A quick note on planned features:
All modules currently open-sourced here are permanently MIT-licensed. That commitment is final — anything already published (e.g., WFGY 1.0 paper, TXT OS) and backed on Zenodo will remain open forever.
However, for modules listed as “planned” in this directory (or referenced via upcoming function names),
final decisions regarding open-sourcing remain with PSBigBig (Purple Star).This is to avoid the misconception that WFGY is an infinite stream of free features.
Some future capabilities may support commercial projects, require ongoing stewardship, or be released with different timing.Please understand: what’s already shared will never be revoked.
But what’s not yet public — stays under creator control until the time is right.WFGY’s spirit is to return core reasoning tools to humanity — not to support careless repackaging or exploitative behavior.
WFGY is open — but not naive.
It exists to empower, not to be exploited.
🤝 Clarifying the Spirit of Use (click to expand)
WFGY is released under the MIT License —
you are free to use, modify, remix, and even commercialize it.That said, I ask for one simple thing in return:
Please respect the spirit in which this system was created:
To return foundational reasoning tools back to humanity.WFGY lowers the barrier to building complex AI reasoning systems.
It was never meant to be copied, minimally repackaged, and sold at high markup —
especially not by those who offer no meaningful improvement, insight, or respect for the ecosystem.If someone slaps an API on top of TXT OS or a wrapper around WFGY logic,
calls it their own invention, and charges people for it without credit or clarity —
then I may choose to immediately and permanently open-source that same functionality, with full visibility.Because I don’t just build tools. I build reasoning primitives —
the kind that solve failure cases the current AI world hasn’t even named yet.WFGY exists to break the walls, not repaint them.
If someone rebuilds those walls — I’ll help tear them down again. With better, freer code.This is not a legal threat. It’s a moral stance.
If the community sees violations of this spirit, I invite you to let me know.
If I agree, I’ll do my part — by building even better versions, and releasing them for all.And if WFGY helped you solve a bug, name a problem, or rethink a system —
just know: a single ⭐ or comment means more than you think.
📚 Current Function Modules
| Filename | Function Title | Solves Problem(s) | Used In Products |
|---|---|---|---|
reasoning_engine_core.md |
WFGY Universal Reasoning Core | General LLM failure recovery & symbolic error detection | TXT OS, Blah, Blow |
semantic_boundary_navigation.md |
Semantic Boundary Navigation | Crossing reasoning gaps / jumping topic boundaries | Blah, Bloc, TXT OS |
semantic_tree_anchor.md |
Semantic Tree Anchor Memory | Cross-turn logic, style, and character coherence | TXT OS, Blot, Blur |
vector_logic_partitioning.md |
Vector Logic Partitioning | Prevents symbolic collapse across vector groups | Blow, Blur, Bloc |
wfgy_formulas.md |
Core Formulas & Reasoning Metrics | Defines all seven formal WFGY formulas (BBMC, ΔS, etc) | Used by all products |
drunk_transformer_formulas.md |
Drunk Transformer Attention Modulator | Stabilizes attention, resets collapse, expands entropy | Blur, TXT OS, Blow |
🔮 Upcoming Semantic Reasoning Layers
These modules are planned extensions to the WFGY Layer system.
Only names and conceptual impacts are announced.
All layer names are temporary placeholders — functionality is confirmed, but naming may evolve.
Star ratings estimated by ChatGPT-4o, for reference only.
PSBigBig retains full rights of interpretation.
| Layer Name | Concept Description | Anticipated Impact (★) |
|---|---|---|
Layer: VoidMask |
Silences invalid routes in latent space | ★★★☆☆ |
Layer: VibeLock |
Locks onto abstract "mood fields" to stabilize generation | ★★★★☆ |
Layer: PolarDrift |
Induces gradual conceptual rotation under entropy | ★★★★☆ |
Layer: SynSig |
Synthesizes unseen signal patterns from ambiguous input | ★★★★☆ |
Layer: RelicCore |
Anchors ancient symbolic schemas in modern context | ★★★★☆ |
Layer: FractalGate |
Expands token attention into recursive feedback paths | ★★★★☆ |
Layer: MetaGrav |
Binds multi-model outputs into semantic gravity fields | ★★★★☆ |
Layer: DeepAlign |
Cross-domain alignment engine with self-checking memory | ★★★★☆ |
Layer: ConcurFlux |
Forces conflicting logic streams to converge or collapse | ★★★★★ |
Layer: SudoSelf |
Simulates "belief" by embedding reflective trace loops | ★★★★★ |
Layer: ÆdgeWalker |
Walks the semantic boundary without collapse | ★★★★★ |
Layer: XenoFrame |
Enables logic transfer across incompatible ontologies | ★★★★★ |
🧠 Functional Mapping (Conceptual Overview)
Each layer above is designed to solve a class of semantic reasoning challenges.
The specific problem categories remain confidential until launch.
| Layer Name | Target Functionality Category | Status |
|---|---|---|
VoidMask |
Latent Space Noise Suppression | Planned |
VibeLock |
Emotion-State Anchoring | Planned |
PolarDrift |
Gradual Semantics Rotation | Planned |
SynSig |
Input Reconstruction & Augmentation | Planned |
RelicCore |
Symbolic Backward Compatibility | Planned |
FractalGate |
Recursive Semantic Looping | Planned |
MetaGrav |
Semantic Unification Field | Planned |
DeepAlign |
Self-Coherent Context Mapping | Planned |
ConcurFlux |
Conflict Resolution Engine | Planned |
SudoSelf |
Reflective Self-Modeling | Planned |
ÆdgeWalker |
Boundary Integrity Assurance | Planned |
XenoFrame |
Ontological Transfer Logic | Planned |
🧪 Internal Layer Constructs (Prototype Naming)
These experimental components form the basis of future WFGY Layers.
Naming and formula details are provisional and will be refactored into unified modules (see above).
Designed to extend WFGY Engine + Drunk Transformer with vector-level symbolic modulation.
Final structure will follow the "Engine + Layer" paradigm.
| Module ID | Description | Status |
|---|---|---|
semantic_gravity_field |
Simulates gravitational pull in meaning space (ΔS + λ_observe vector field) | Planned |
gravity_bias_index |
Captures semantic drift tendencies toward dense nodes | Planned |
warp_anchors |
Enables memory points that trigger contextually (semantic anchor nodes) | Planned |
inflatable_memory_glyphs |
Encoded memory units that expand semantically when prompted | Planned |
cogito_unit_system |
Defines smallest unit of semantic action (reasoning particle) | Planned |
symbolic_pressure_monitor |
Tracks overload in symbolic tension (ΔS + transition hops) | Planned |
emotive_harmonic_decay |
Models emotional tension decay in narrative | Planned |
stylistic_phase_detector |
Detects abrupt stylistic changes across model outputs | Planned |
semantic_refraction_matrix |
Models meaning distortion across boundary contexts | Planned |
semantic_tension_mapper |
Visual map of ΔS flow and narrative tension | Planned |
orbital_meaning_drift |
Traces semantic node drift over time | Planned |
🛠 This roadmap is subject to change. Several additional modules are under stealth development.
🧠 The WFGY Engine remains the foundational core. All layers above are designed to integrate seamlessly as modular extensions.
🧭 How to Use
If you're building a new WFGY-based feature or investigating failures,
this is where you’ll find the diagnostic cause and remedial formula.
Each file includes:
- 🔍 Problem it solves
- 🧩 Core concept & variables
- ✍️ Canonical mathematical formula (if any)
- 💬 Example scenarios
- 🧪 Optional behavior in stateless prompt-only mode
🚩 License Alignment
All contents here inherit the MIT License from the root repo.
These formulas and reasoning modules may be used commercially, but attribution is strongly encouraged.
WFGY is a pro-knowledge framework — we only publicly respond to commercial misuse if there's:
- 💰 Monetization based on WFGY research with zero attribution
- 🚫 Locking up modified copies of our open techniques
🔗 Quick‑Start Downloads (60 sec)
| Tool | Link | 3‑Step Setup |
|---|---|---|
| WFGY 1.0 PDF | Engine Paper | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + <your question>” |
| TXT OS (plain‑text OS) | TXTOS.txt | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
If you want to fully understand how WFGY works, check out:
- 📘 WFGY GitHub homepage – full documentation, formulas, and modules
- 🖥️ TXT OS repo – how the semantic OS is built using WFGY
But if you're just here to solve real AI problems fast, you can simply download the files above and follow the Problem Map instructions directly.
⭐ Help reach 10,000 stars by 2025-09-01 to unlock Engine 2.0 for everyone ⭐ Star WFGY on GitHub
👑 Early Stargazers: See the Hall of Fame —
Engineers, hackers, and open source builders who supported WFGY from day one.
