DAXDA Next-Gen Governance & AGI Containment Engine 🚀

DAXDA Next-Gen is an enterprise-grade neural-symbolic dependency-tree governance engine, AGI containment framework, and distributed GPU validation platform.

---

🌟 Key Features

1. Neural-Symbolic Dependency-Tree Governance Engine (daxda_engine)

   • Canonical 4D HyperVolume task engine.
   • SI-500 Cross-Domain Benchmarking and multivector audit capabilities.
   • Automated proof-of-concept verification and empirical proof certification.

2. DAXDA Guard SDK & AGI Containment Suite (daxda_guard)

   • Multi-tenant RBAC enforcement & dynamic proxy gateway.
   • HSM cryptographic signing (hsm_signer.py) and SOC real-time alerting (soc_alerter.py).
   • AGI Containment Escape & Gaming Test Suite (containment_escape_suite.py).
   • Automated S3 compliance exporter & mobile security SDK.

3. DA13 Distributed GPU Validator Cluster (da13_validator)

   • Ray distributed worker architecture for multi-GPU validator nodes.
   • Formal DAX scoring spec (dax-scoring-spec.md) and JSON schema validation.

4. Multi-Platform SDKs & Helm Deployments

   • Node.js Client SDK (sdks/js).
   • Enterprise Kubernetes Helm Charts (helm/).

---

📁 Repository Structure

daxda-next-gen/
├── daxda_guard/                  # Core Python Security & Guard SDK
│   ├── core.py                   # Core Guard engine
│   ├── hsm_signer.py             # Cryptographic HSM signing
│   ├── soc_alerter.py            # Real-time SOC alerting
│   ├── rbac.py                   # Role-Based Access Control
│   ├── scanner.py                # Security & containment scanner
│   ├── s3_exporter.py            # S3 compliance logs exporter
│   └── containment_escape_suite.py # AGI Containment test suite
├── daxda_engine/                 # Next-Gen Neural-Symbolic Engine
│   ├── engine.py                 # Neural-symbolic tree engine (v7/v12)
│   └── score_predictions.py      # Benchmark predictor & scoring
├── da13_validator/               # Distributed GPU Validator Architecture
│   ├── validator.py              # Main cluster validator node
│   ├── ray_workers.py            # Distributed Ray worker nodes
│   ├── cluster_config.py         # Multi-GPU cluster topology
│   └── dax-scoring-spec.md       # DAX formal scoring specification
├── sdks/
│   └── js/                       # Node.js Client Library
├── helm/                         # Production Kubernetes Deployments
├── tests/                        # Hardened Safety & Integration Test Suite
└── docs/                         # Whitepapers & Architectural Specifications

---

⚡ Quick Start

Installation

git clone https://github.com/user/daxda-next-gen.git
cd daxda-next-gen
pip install -e .

Running Safety & Governance Integration Tests

pytest tests/

Running the DA13 GPU Validator Node

python da13_validator/gpu_setup/run_dax_17gpu.py

---

🛡️ License

Distributed under the MIT License. See LICENSE for details.