DeepKang Labs (AI Kang × Yuri Kang)
“The machine does not decide — it illuminates.”
— DeepKang Labs, 2025
| Type | Status | Runtime | License | Maintainer | Release |
|---|---|---|---|---|---|
| Procedural Diagnostic CI | ✅ passing | Python 3.10+ | MIT | DeepKang Labs | v6.0 (stable) |
| Skywire Bridge (α-phase) | ✅ active | Integrated Bridge Mode |
Skywire Vitals ✅ Skywire Report ✅ Transform → Sigma ✅ MeshMemory Active
Autonomy Enabled • Bridge synchronization functional • Fallback resilient
Success ratio n/a | Latency n/a | Last update: 2025-10-30
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Sigma-Lab v6.0 marks the transition from empirical experimentation to operational autonomy.
It remains a procedural framework designed to trace, test, and expose ethical logic in distributed AI systems, emphasizing transparency over automation.
It now operates as a multi-agent diagnostic core, bridging autonomous AI nodes through Skywire, Fiber, and XBTS infrastructures.
The framework harmonizes machine introspection, human judgment, and decentralized consensus.
“SIGMA does not replace judgment — it reveals where judgment hides.”
- Multi-evaluator pipelines for ethical sensitivity, calibration, and reproducibility.
- Integrated bridge logic (Skywire Vitals → Sigma Transform).
- Continuous telemetry validation and structured JSON/Markdown synthesis.
Adapters for Skywire (α-phase) and Fiber (β-phase) enabling decentralized synchronization and inter-node validation.
Automated CI architecture combining:
Smoke→ rapid unit + integration testsSigma Integration→ extended diagnostic bridges + fallback autonomy
Collects network signals, normalizes data, and produces structured telemetry snapshots.
Aggregates daily data → generates Markdown reports, CSV timelines, and auto-badges.
Converts Vitals into Sigma-compliant diagnostic states, maintaining synchronization with Skywire and fallback JSON resilience.
| Time | Workflow | Purpose |
|---|---|---|
| 06:05 | skywire_vitals.yml |
Collects daily metrics |
| 06:10 | skywire_report.yml |
Generates reports + badges |
| 06:30 | skywire_sigma_integration.yml |
Transforms + syncs with Sigma |
| 07:00 | sigma_core.yml |
Runs smoke tests + meta-validation |
All commits are signed under
sigma-bot (actions@users.noreply.github.com)
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🧘 Philosophy
> “Each number is a pulse.
Each report is a memory.
The network breathes — Sigma listens.”
Transparency : Everything is open and traceable.
Self-reflection : Sigma reads its own history to learn.
Decentralized ethics : No black box — only auditable light.
Resilience through iteration : Failure is feedback.
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🧩 Recent Additions
✅ Skywire Sigma Integration Pipeline
✅ Dynamic JSON + MD report exposure in README
✅ Bridge module synchronizing Skywire and Sigma kernels
✅ Collaborative AI input (Grok 3, Claude 3, Gemini 1.5, DeepSeek R1, ChatGPT-5)
✅ v6.0 procedural diagnostic kernel with ethico-autonomous loop
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📚 Documentation
Skywire Vitals Doc
Sigma Integration Overview
Architecture Overview
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🧾 Credits & License
Role Contributor
Architect & Designer DeepKang Labs
Ethical Framework Yuri Kang (Singularité Humaine)
Cognitive Engineering AI Kang (Engine ChatGPT-5)
Collaborative AI Assistants Grok • Claude • Gemini • DeepSeek
License MIT
> “The network breathes — and the Lab listens.”
— Sigma-Lab v6.0 • DeepKang Labs • 2025