AgentMesh Cloud - Global AI Platform Builder

A fully adaptive, multi-cloud, self-optimizing AI platform integrating partner ecosystems, AI-driven observability, cross-domain agents, and continuous autonomy.

🚀 Overview

AgentMesh Cloud has been extended into a comprehensive AI-native enterprise operating system that provides:

Adaptive AI Autonomy - Dynamic inference routing with model-agnostic LLM selection
Universal API Network - Partner ecosystem integration with federated gateway
Intelligence Engine - Predictive orchestration and agentic knowledge graphs
Digital Twin Infrastructure - System simulation and stress testing capabilities
AI Governance & Trust Framework - Transparent governance with automated compliance

🏗️ Architecture

Core Components

1. Ecosystem Module (`/ecosystem`)

Adaptive Inference Router - Multi-LLM selection with auto-fallback
Federated Gateway Service - Third-party agent integration
Knowledge Graph Service - Agentic knowledge graph with vector search
Partner Marketplace Service - Partner integration and revenue sharing

2. Digital Twin Module (`/digital-twin`)

System Digital Twin - Complete system mirroring
Scenario Testing Lab - Agentic stress testing
Predictive Energy Optimization - Cost and CO₂ impact optimization

3. AIOps Module (`/aiops`)

Self-Healing Pipeline Agent - Fault detection and auto-rollback
Real-Time Ethical Compliance Agent - Bias, drift, and privacy monitoring
Predictive Orchestration Engine - Dynamic resource allocation

4. Partners Module (`/partners`)

Partner Portal - Marketplace and API publisher center
Revenue Sharing System - Automated partner compensation
SDK Generator - Partner development tools

Technology Stack

Backend: Node.js, TypeScript, Express.js
Database: Supabase (PostgreSQL with pgvector)
Message Queue: Kafka, NATS
Cache: Redis
Monitoring: Prometheus, Grafana
AI/ML: OpenAI, Anthropic, Google Gemini, Cohere, Hugging Face
Vector Search: pgvector, VectorHub integration
Containerization: Docker, Kubernetes
CI/CD: GitHub Actions, automated deployment

🚀 Quick Start

Prerequisites

Node.js 18+
npm 8+
Docker (optional)
Supabase account
Redis instance
Kafka cluster (optional)

Installation

Clone the repository

git clone <repository-url>
cd agentmesh-cloud

Install dependencies
```
npm install
```

Set up environment variables

cp .env.example .env
# Edit .env with your configuration

Start the development environment
```
npm run dev
```

Environment Variables

# Database
SUPABASE_URL=your_supabase_url
SUPABASE_ANON_KEY=your_supabase_anon_key
SUPABASE_SERVICE_KEY=your_supabase_service_key

# LLM Providers
OPENAI_API_KEY=your_openai_key
ANTHROPIC_API_KEY=your_anthropic_key
GOOGLE_API_KEY=your_google_key
COHERE_API_KEY=your_cohere_key
HUGGINGFACE_API_KEY=your_huggingface_key

# Infrastructure
REDIS_URL=redis://localhost:6379
KAFKA_BROKERS=localhost:9092
NATS_URL=nats://localhost:4222

# Security
JWT_SECRET=your_jwt_secret
ENCRYPTION_KEY=your_encryption_key

📚 API Documentation

Inference Router API

Route Inference Request

POST /api/v1/inference/route
Content-Type: application/json

{
  "prompt": "What is the capital of France?",
  "model": "gpt-4",
  "provider": "openai",
  "parameters": {
    "temperature": 0.7,
    "maxTokens": 100
  },
  "priority": "normal"
}

Get Available Providers

GET /api/v1/inference/providers

Knowledge Graph API

Create Knowledge Node

POST /api/v1/knowledge/nodes
Content-Type: application/json

{
  "type": "concept",
  "content": "Artificial Intelligence is the simulation of human intelligence in machines",
  "metadata": {
    "title": "Artificial Intelligence",
    "description": "Definition of AI",
    "domain": "technology"
  },
  "tags": ["ai", "technology", "definition"]
}

Search Knowledge Graph

POST /api/v1/knowledge/search
Content-Type: application/json

{
  "text": "machine learning algorithms",
  "type": "semantic",
  "filters": {
    "nodeTypes": ["concept", "entity"],
    "confidence": { "min": 0.8 }
  },
  "options": {
    "limit": 10,
    "sortBy": "relevance"
  }
}

Partner Marketplace API

List Available Partners

GET /api/v1/partners/marketplace

Register New Partner

POST /api/v1/partners/register
Content-Type: application/json

{
  "name": "AI Solutions Inc",
  "description": "Specialized AI consulting services",
  "capabilities": ["nlp", "computer-vision", "predictive-analytics"],
  "pricing": {
    "type": "per_request",
    "cost": 0.01
  }
}

🔧 Configuration

Feature Flags

Control which features are enabled:

FEATURE_INFERENCE_ROUTER=true
FEATURE_FEDERATED_GATEWAY=true
FEATURE_KNOWLEDGE_GRAPH=true
FEATURE_PARTNER_MARKETPLACE=true
FEATURE_DIGITAL_TWIN=true
FEATURE_AIOPS=true
FEATURE_COMPLIANCE_AUTOMATION=true

Provider Configuration

Configure LLM providers:

OPENAI_ENABLED=true
OPENAI_PRIORITY=1
OPENAI_WEIGHT=1.0

ANTHROPIC_ENABLED=true
ANTHROPIC_PRIORITY=2
ANTHROPIC_WEIGHT=0.9

GOOGLE_ENABLED=true
GOOGLE_PRIORITY=3
GOOGLE_WEIGHT=0.8

🧪 Testing

Run Tests

# Run all tests
npm test

# Run specific module tests
npm test -- --grep "ecosystem"
npm test -- --grep "digital-twin"
npm test -- --grep "aiops"
npm test -- --grep "partners"

Load Testing

# Test inference router performance
npm run test:load:inference

# Test knowledge graph performance
npm run test:load:knowledge

# Test partner marketplace performance
npm run test:load:partners

📊 Monitoring

Health Checks

Ecosystem Service: http://localhost:3002/health
Digital Twin Service: http://localhost:3003/health
AIOps Service: http://localhost:3004/health
Partners Service: http://localhost:3005/health

Metrics

Prometheus: http://localhost:9090/metrics
Grafana Dashboard: http://localhost:3000

Logs

# View ecosystem logs
npm run logs:ecosystem

# View digital twin logs
npm run logs:digital-twin

# View AIOps logs
npm run logs:aiops

# View partners logs
npm run logs:partners

🚀 Deployment

Docker Deployment

# Build all services
docker-compose build

# Start all services
docker-compose up -d

# Scale specific services
docker-compose up -d --scale ecosystem=3

Kubernetes Deployment

# Apply Kubernetes manifests
kubectl apply -f k8s/

# Check deployment status
kubectl get pods -l app=agentmesh-cloud

# Scale deployments
kubectl scale deployment ecosystem --replicas=5

Multi-Cloud Deployment

# Deploy to AWS
npm run deploy:aws

# Deploy to GCP
npm run deploy:gcp

# Deploy to Azure
npm run deploy:azure

🔒 Security

Authentication & Authorization

JWT-based authentication
Role-based access control (RBAC)
Tenant isolation
API key management

Data Protection

End-to-end encryption
Data residency controls
Privacy-preserving analytics
Automated data anonymization

Compliance

SOC 2 Type II automation
ISO 27001 compliance
GDPR compliance
HIPAA compliance (healthcare)

🤝 Contributing

Fork the repository
Create a feature branch
Make your changes
Add tests
Submit a pull request

Development Guidelines

Follow TypeScript best practices
Write comprehensive tests
Document all APIs
Follow the existing code style
Update documentation

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🆘 Support

Documentation: docs.agentmesh.cloud
Community: Discord
Issues: GitHub Issues
Email: support@agentmesh.cloud

🗺️ Roadmap

Phase 1: Core Platform (Q1 2025)

✅ Adaptive Inference Router
✅ Knowledge Graph Service
✅ Partner Marketplace
🔄 Digital Twin Framework
🔄 AIOps Self-Healing

Phase 2: Advanced Features (Q2 2025)

🔄 Multi-Cloud Orchestration
🔄 Advanced Analytics
🔄 Compliance Automation
🔄 Edge Computing Support

Phase 3: Enterprise Features (Q3 2025)

🔄 Enterprise SSO
🔄 Advanced Security
🔄 Custom Model Training
🔄 White-label Solutions

Phase 4: AI-Native OS (Q4 2025)

🔄 Autonomous Operations
🔄 Self-Improving Systems
🔄 Global Intelligence Network
🔄 Quantum-Ready Architecture

🙏 Acknowledgments

OpenAI for GPT models
Anthropic for Claude models
Google for Gemini models
Supabase for backend infrastructure
The open-source community for various libraries and tools

AgentMesh Cloud - Building the future of AI-native enterprise operations.

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
.github/workflows		.github/workflows
aiops		aiops
apps		apps
digital-twin		digital-twin
ecosystem		ecosystem
feedback		feedback
growth		growth
marketing		marketing
packages/shared		packages/shared
partners		partners
supabase		supabase
.eslintrc.js		.eslintrc.js
.gitignore		.gitignore
.prettierrc		.prettierrc
LICENSE		LICENSE
README.md		README.md
package-lock.json		package-lock.json
package.json		package.json
turbo.json		turbo.json

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AgentMesh Cloud - Global AI Platform Builder

🚀 Overview

🏗️ Architecture

Core Components

1. Ecosystem Module (/ecosystem)

2. Digital Twin Module (/digital-twin)

3. AIOps Module (/aiops)

4. Partners Module (/partners)

Technology Stack

🚀 Quick Start

Prerequisites

Installation

Environment Variables

📚 API Documentation

Inference Router API

Route Inference Request

Get Available Providers

Knowledge Graph API

Create Knowledge Node

Search Knowledge Graph

Partner Marketplace API

List Available Partners

Register New Partner

🔧 Configuration

Feature Flags

Provider Configuration

🧪 Testing

Run Tests

Load Testing

📊 Monitoring

Health Checks

Metrics

Logs

🚀 Deployment

Docker Deployment

Kubernetes Deployment

Multi-Cloud Deployment

🔒 Security

Authentication & Authorization

Data Protection

Compliance

🤝 Contributing

Development Guidelines

📄 License

🆘 Support

🗺️ Roadmap

Phase 1: Core Platform (Q1 2025)

Phase 2: Advanced Features (Q2 2025)

Phase 3: Enterprise Features (Q3 2025)

Phase 4: AI-Native OS (Q4 2025)

🙏 Acknowledgments

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1. Ecosystem Module (`/ecosystem`)

2. Digital Twin Module (`/digital-twin`)

3. AIOps Module (`/aiops`)

4. Partners Module (`/partners`)

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