WFGY 16 Problem Map

Tools & Infrastructure 💻 Jupyter Notebook ⚖️ Other 🟢 Actively maintained
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WFGY 5.0 Polaris Protocol is a governed protocol layer for building, tuning, verifying, and carrying structured language systems across sessions, tasks, and worlds. It provides a staged rollout of public evidence, portable protocol components, and reusable AI execution components. It is for developers and AI practitioners who need structured, verifiable, and reproducible AI workflows.

✨ Key features

  • Staged functional rollout of protocol components
  • Public evidence packages with raw outputs and audits
  • Portable protocol component: Polaris Goal Compiler
  • Problem Map 3.0 troubleshooting atlas for broken AI workflows
  • SHA256 verification for official TXT packs
  • Governed by WFGY 4.0 engine

🎯 Use cases

  • Compile user goals before AI task execution
  • Debug and fix broken RAG or agent pipelines
  • Verify AI experiment outputs with public evidence
  • Implement structured language protocols in AI assistants
  • Carry structured language systems across sessions

🚀 Usage

1. Download the TXT pack
2. Upload it to a strong LLM
3. Type `run`, then `go`, and follow the built-in console

⚠️ Good to know

The project is in staged rollout; deeper engine components are not yet public.

❓ FAQ

What is WFGY?

WFGY is an open-source ecosystem for engineered language, human-machine interaction, and reusable AI execution components, currently led by WFGY 5.0 Polaris Protocol.

How do I start with WFGY?

For the flagship direction, start with Polaris Protocol README. For a first usable component, try Polaris Goal Compiler. For broken AI workflows, use Problem Map 3.0.

What is Polaris Goal Compiler?

It is the first public portable protocol component that helps AI systems compile user goals before construction, separate truth work from expression work, and prevent premature completion claims.

What is Cite First Verification?

It is an Easter Egg that allows you to verify the official WFGY 3.0 TXT pack via SHA256 checksum. The official SHA256 is 58dbd432db3e6494364557257f7ce068eb59bdd039995dff4c281d655f7d464f.

📊 Repository

Stars★ 1,787
Forks🍴 165
Open issues🐛 13
Last commit🕒 Sep 4, 2026
Created📅 Jun 2025
Language💻 Jupyter Notebook
License⚖️ Other

🤖 Overview, features, install steps and FAQ were generated from the project's README on Sep 4, 2026. Always check the original source before running commands.