WFGY 5.0 Polaris Protocol
A governed protocol layer for AI reasoning, RAG, and agents, with staged rollouts and public evidence.
Evidence shows a security policy and an auto-reply workflow, but no code or execution details are provided. There is no least privilege, no user confirmation, no data flow transparency, no sensitive data handling, no dependency security, no external effects control, no rollback, and no source attribution. Therefore all trust criteria score 0.
Self-consistency: README mentions 'Polaris Goal Compiler' and 'Problem Map 3.0' multiple times, but link paths are inconsistent (e.g., './Polaris/protocols/goal-compiler/README.md' vs './Polaris/README.md'), and FAQ has inconsistent capitalization (e.g., './Recognition/' vs './recognition/'), so score 1. Dependency availability: no dependencies mentioned, score 0. Failure messages: no error handling or failure message examples, score 0.
Audience and scenarios: README clearly lists various user scenarios and routing, score 2. Capability boundaries: describes protocol layer and components but not explicit boundaries, score 1. Trigger precision: provides AI routing instructions and verification steps but not explicit triggers, score 1. Environment fit: no supported environments or platforms mentioned, score 1.
Information architecture: README is well-structured with navigation and FAQ, score 2. Install notes: no installation or usage instructions, score 0. Naming stability: version naming is clear but some links have inconsistent capitalization, score 1. Examples and FAQ: provides FAQ and examples, score 2. Known limitations: none mentioned, score 0. License: LICENSE file exists but metadata is NOASSERTION, and license text is MIT, score 1. Versioning and changelog: no changelog provided, score 1. Maintenance responsibility: README mentions maintainers but not explicit responsibility, score 1.
Output usability: provides protocol components and evidence packages but no output format, score 1. Marginal value: provides unique protocol layer and evidence-first approach but no comparison with other tools, score 1. Cost-benefit: no performance or cost data, score 1.
Claim traceability: provides SHA256 checksum and evidence packages but no raw data, score 1. Cross-source corroboration: no external verification, score 0. Fact-inference separation: README distinguishes facts and inferences but not explicitly labeled, score 1.
- The repository provides no executable code or tests, so functionality cannot be verified.
- License metadata is NOASSERTION, despite an MIT license file, which needs confirmation.
- Inconsistent link paths may cause navigation issues.
- No installation or usage instructions are provided, making it hard for users to get started.
What does this agent do, and when should you use it?
WFGY is an open-source ecosystem currently led by WFGY 5.0 Polaris Protocol, providing a governed protocol layer for building, tuning, verifying, and carrying structured language systems across sessions, tasks, and worlds. The repository includes layered versions: 3.0 as frontier reasoning and verification (Event Horizon), 4.0 as governance engine (Twin Atlas, Inverse Atlas, AI Eval), and 5.0 conducting a staged functional rollout of evidence packages, portable protocol components, and reproduction materials. Public components include Polaris Experiments, the Cite First Verification easter egg, and the Polaris Goal Compiler, the first portable protocol component. Additionally, Problem Map 3.0 provides a rapid troubleshooting gate for broken AI workflows with Atlas Router, Global Debug Card, and Global Fix Map.
WFGY 5.0 Polaris Protocol releases components batch-by-batch. Polaris Experiments provide public evidence packages with raw outputs, parsed outputs, verdicts, audits, token records, and hashes. Polaris Goal Compiler is a portable human-AI execution protocol that compiles user goals before construction, separates truth work from expression work, exposes active and blocked downstream work, prevents premature completion claims, and verifies before unlocking. Cite First Verification easter egg verifies the official TXT pack via SHA256 and outputs a specific boot block upon match. Problem Map 3.0 offers Atlas Router TXT, Global Debug Card, and Global Fix Map for diagnosing and fixing RAG or agent pipelines.
- Developers facing hallucinations or broken workflows in RAG or agent pipelines can use Problem Map 3.0 and Global Debug Card for structured diagnostics.
- AI engineers needing to prevent premature completion claims in multi-step tasks can adopt Polaris Goal Compiler as an execution policy.
- Researchers requiring reproducible evidence can download Polaris experiment packages and verify SHA256 hashes.
- Teams wanting to verify integrity of WFGY 3.0 TXT pack can use the Cite First Verification process with an LLM.
- Governance or compliance teams can reference WFGY 4.0's Twin Atlas and AI Eval for evaluation discipline.
- Developers building cross-session consistent agent behavior can adopt WFGY 5.0 protocol layers.
What are this agent's strengths and limitations?
- Staged rollout model makes useful components available early, allowing users to test practical pieces before a full release.
- Public evidence-first approach with downloadable experiment packages, hashes, and audit records enhances verifiability.
- Polaris Goal Compiler is a portable protocol that can be integrated into any AI system without vendor lock-in.
- Problem Map 3.0 offers a structured troubleshooting path for common AI failures, reducing debugging effort.
- Currently provides mainly protocols and documentation, lacking executable code or automated installation, requiring manual integration.
- Polaris experiments have not been independently verified, which may fall short of strict reproducibility standards.
- The staged release leaves deeper engine layers and runtime structures pending, so the full system is incomplete.
- The license is marked NOASSERTION, requiring legal review before use; this may deter commercial adoption.
How do you install or deploy this agent?
This repository is primarily documentation and protocol references; there is no traditional installation package. To use Polaris Goal Compiler, clone the repo or directly download the Polaris/protocols/goal-compiler/README.md content, then paste it into your AI assistant, agent rule file, or workflow policy. Alternatively, start with Problem Map 3.0 by reading the troubleshooting atlas.
How do you use this agent?
- Clone the repository:
git clone https://github.com/onestardao/WFGY.git. 2. For Polaris Goal Compiler, copy the protocol content into your AI system's configuration, following its steps for compiling goals, separating work, and verifying. 3. For Cite First Verification, download the official TXT packWFGY-3.0_Singularity-Demo_AutoBoot_SHA256-Verifiable.txt, upload it to an LLM that can read files, and request verification of the SHA256 against the canonical value58dbd432db3e6494364557257f7ce068eb59bdd039995dff4c281d655f7d464f. The AI should output the designated boot block if matched. 4. For Problem Map 3.0, follow the Atlas Router and Global Debug Card guidance to diagnose issues.
How does this agent compare with similar options?
Compared to LangChain and AutoGPT, WFGY emphasizes protocol and structured language rather than chain orchestration or autonomous agents; it includes built-in debugging and verification frameworks, whereas LangChain and AutoGPT lack built-in verification layers.