Nephio O-RAN Claude Agents

Welcome to the Nephio O-RAN Claude Agents project - an advanced cloud-native orchestration system that bridges natural language network operations with O-RAN compliant deployments using cutting-edge AI agents.

🎯 Project Mission

The Nephio O-RAN Claude Agents project provides intelligent automation for deploying, managing, and optimizing O-RAN L Release networks using Nephio R5 infrastructure. Our AI-powered agents understand natural language commands and execute complex network operations with precision and reliability.

🏗️ System Architecture

Our system consists of 10 specialized agents that work together to provide comprehensive O-RAN network lifecycle management:

🚀 Key Features

🤖 Intelligent Agent System

10 Specialized Agents: Each agent is an expert in a specific domain
Natural Language Processing: Understand and execute commands in plain English
Autonomous Operation: Agents can work independently or collaboratively
Self-Healing: Automatic detection and resolution of issues

🌐 O-RAN L Release Compliance

Complete Interface Support: E2, A1, O1, O2 interfaces fully implemented
WG11 Security Standards: Advanced security and compliance validation
SMO Integration: Full Service Management and Orchestration support
RAN Functions: KPM, RC, and CCC RAN function support

☸️ Nephio R5 Integration

Porch Package Management: Advanced GitOps-based package orchestration
PackageVariantSet: Multi-cluster deployment automation
O-Cloud Integration: Cloud-native infrastructure management
FIPS 140-3 Compliance: Secure cryptographic operations with Go 1.24.6

🔧 Advanced Automation

Infrastructure as Code: Declarative infrastructure management
GitOps Workflows: ArgoCD and Flux-based continuous deployment
Zero-Downtime Operations: Blue-green and canary deployments
Multi-Cluster Management: Seamless operation across edge and core

📋 Agent Inventory

Agent	Purpose	Model	Capabilities
Orchestrator Agent	Master coordinator	Claude Opus	Multi-cluster deployment, workflow management, package variant orchestration
Infrastructure Agent	Infrastructure provisioning	Claude Sonnet	Kind/Metal3 clusters, Nephio R5 components, ArgoCD, storage
Configuration Management Agent	Configuration deployment	Claude Haiku	Porch packages, YANG models, network attachments, kpt functions
Network Functions Agent	O-RAN network functions	Claude Haiku	Near-RT RIC, SMO, xApps, rApps, CU/DU/RU deployment
Monitoring Analytics Agent	Observability stack	Claude Sonnet	Prometheus, Grafana, VES collector, Jaeger tracing
Data Analytics Agent	Data processing	Claude Sonnet	Kafka streaming, InfluxDB, Flink processing, ML pipelines
Security Compliance Agent	Security validation	Claude Sonnet	WG11 compliance, FIPS mode, container scanning, zero-trust
Performance Optimization Agent	Performance tuning	Claude Opus	SMO optimization, energy efficiency, AI/ML acceleration
Testing Validation Agent	End-to-end testing	Claude Haiku	Interface testing, chaos engineering, load testing, Go coverage
Dependency Doctor Agent	Dependency resolution	Claude Sonnet	Go modules, Python packages, system libraries, container fixes

🎯 Use Cases

🏢 Enterprise 5G Deployment

Deploy a complete private 5G network with O-RAN components for enterprise use cases:

Automated infrastructure provisioning
Security-first deployment with WG11 compliance
Performance optimization for specific workloads
Continuous monitoring and analytics

🌍 Multi-Site Edge Computing

Manage distributed edge computing infrastructure across multiple sites:

PackageVariantSet for site-specific configurations
Energy-efficient operations with sustainability metrics
AI/ML workload placement and optimization
Zero-touch provisioning and maintenance

🔬 Research & Development

Accelerate O-RAN research with rapid prototyping capabilities:

Quick deployment of test environments
Chaos engineering for resilience testing
Custom xApp and rApp development workflows
Comprehensive performance benchmarking

🏭 Industrial IoT & Manufacturing

Deploy industrial-grade 5G networks for manufacturing and IoT:

Ultra-low latency network slice management
Predictive maintenance with AI/ML analytics
Strict security and compliance requirements
Integration with existing industrial systems

🚀 Quick Start

Prerequisites

Kubernetes 1.30+
Go 1.24.6 (with FIPS 140-3 support)
Docker/Podman
Helm 3.x
kubectl and kpt CLI tools

1-Minute Demo

# Clone the repository
git clone https://github.com/your-org/nephio-oran-claude-agents.git
cd nephio-oran-claude-agents

# Start with infrastructure setup
claude-agent infrastructure-agent "create cluster"

# Deploy O-RAN components
claude-agent network-functions-agent "deploy ric"

# Monitor the deployment
claude-agent monitoring-agent "setup monitoring"

# Validate everything works
claude-agent testing-validation-agent "quick validation"

Standard Deployment Workflow

Infrastructure Setup: Create Kubernetes clusters with Nephio R5
Security Configuration: Apply WG11 security policies and FIPS mode
Network Function Deployment: Deploy O-RAN components via Porch packages
Monitoring & Analytics: Set up observability and data processing
Performance Optimization: Apply energy efficiency and AI/ML optimizations
Validation & Testing: Run comprehensive E2E test suites

📊 System Requirements

Minimum Requirements

CPU: 16 cores
Memory: 64GB RAM
Storage: 500GB SSD
Network: 10Gbps connectivity

Recommended for Production

CPU: 32+ cores with SR-IOV support
Memory: 128GB+ RAM
Storage: 2TB+ NVMe SSD
Network: 25Gbps+ with DPDK support
GPU: NVIDIA A100 or equivalent for AI/ML workloads

🔧 Technology Stack

Core Technologies

Container Platform: Kubernetes 1.30+, containerd
Package Management: Helm, kpt, Porch
GitOps: ArgoCD, Flux
Service Mesh: Istio (optional)
Storage: OpenEBS, Rook-Ceph

O-RAN Components

Near-RT RIC: O-RAN SC platform v3.0.0+
Non-RT RIC/SMO: O-RAN SC Non-RT RIC v2.5.0+
E2 Interface: ASN.1 based with RAN functions
A1 Interface: RESTful policy management
O1 Interface: NETCONF/YANG configuration

Data & Analytics

Streaming: Apache Kafka with KRaft
Time Series: InfluxDB 2.x
Processing: Apache Flink
ML/AI: Kubeflow, KServe, ONNX Runtime
Visualization: Grafana, Superset

Security & Compliance

Cryptography: FIPS 140-3 with Go 1.24.6
Network Security: Calico, Network Policies
Container Security: Falco, Trivy scanning
Secret Management: External Secrets Operator

📚 Documentation Structure

This documentation is organized into the following sections:

Getting Started: Quick setup and basic operations
Architecture: System design and component interactions
Agents: Individual agent documentation and capabilities
Integration: Workflow guides and best practices
API Reference: Complete API documentation
Examples: Real-world usage scenarios
Troubleshooting: Common issues and solutions

🤝 Community & Support

Getting Help

Documentation: Comprehensive guides and API references
GitHub Issues: Bug reports and feature requests
Community Slack: Real-time discussion and support
Office Hours: Weekly community calls

Contributing

We welcome contributions from the community! Whether it's:

Bug reports and fixes
New agent capabilities
Documentation improvements
Performance optimizations
Security enhancements

Please see our Contributing Guide for details on how to get started.

Roadmap

Our development roadmap includes:

Q4 2024: O-RAN L Release full compliance
Q1 2025: Advanced AI/ML integration
Q2 2025: Multi-cloud deployment support
Q3 2025: Edge computing optimizations
Q4 2025: 6G research integration

⚡ Performance Benchmarks

Metric	Target	Typical
E2 Setup Time	< 5 seconds	2.3s
A1 Policy Deployment	< 2 seconds	0.8s
Package Deployment	< 30 seconds	18s
AI/ML Inference (P99)	< 50ms	42ms
Energy Efficiency	> 0.5 Gbps/W	0.73 Gbps/W
Test Coverage	> 85%	87.3%

🔐 Security & Compliance

FIPS 140-3: Cryptographic module validation
WG11 Standards: O-RAN security specifications
Zero Trust: Network security architecture
RBAC: Role-based access control
Audit Logging: Comprehensive security event logging
Vulnerability Scanning: Continuous container and dependency scanning

📈 Monitoring & Observability

Real-time Metrics: Prometheus with custom O-RAN metrics
Distributed Tracing: Jaeger for end-to-end request tracing
Log Aggregation: Fluentd with ELK stack
Alerting: AlertManager with PagerDuty integration
Dashboards: Pre-built Grafana dashboards for O-RAN KPIs

Next Steps

Ready to get started? Here are some suggested next steps:

Quick Start Guide - Get up and running in minutes
Architecture Overview - Understand the system design
Agent Documentation - Learn about individual agent capabilities
API Reference - Integrate with our APIs
Examples - See real-world usage scenarios

Welcome to the future of automated O-RAN network operations! 🚀

🎯 Project Mission​

🏗️ System Architecture​

🚀 Key Features​

🤖 Intelligent Agent System​

🌐 O-RAN L Release Compliance​

☸️ Nephio R5 Integration​

🔧 Advanced Automation​

📋 Agent Inventory​

🎯 Use Cases​

🏢 Enterprise 5G Deployment​

🌍 Multi-Site Edge Computing​

🔬 Research & Development​

🏭 Industrial IoT & Manufacturing​

🚀 Quick Start​

Prerequisites​

1-Minute Demo​

Standard Deployment Workflow​

📊 System Requirements​

Minimum Requirements​

Recommended for Production​

🔧 Technology Stack​

Core Technologies​

O-RAN Components​

Data & Analytics​

Security & Compliance​

📚 Documentation Structure​

🤝 Community & Support​

Getting Help​

Contributing​

Roadmap​

⚡ Performance Benchmarks​

🔐 Security & Compliance​

📈 Monitoring & Observability​

Next Steps​