This repo provides a Agentic AI Framework
graph TD
%% Layer 1 Subgraph
subgraph Layer1[Layer 1]
A1[Block A]
B1[Block B]
C1[Block C]
end
%% Layer 2 Subgraph
subgraph Layer2[Data Layer]
A2[Ingestion]
B2[Vectorization]
C2[Vector]
end
%% Connections between layers
B1 --> B2
C1 --> C2
A1 --> Layer2
- Task Management Tools
- Decision and Reasoning Tools
- Monitoring and Incident Tool Integration
- Security Tool Integration
- Compliance Tool Integration
- Content Generation
- Customer Interaction
- Resource Management in Cloud
- DevOps Automation
- Monitoring & Alerting
- Customer Personalization
- Predictive Maintenance
- Enterprise Data Integration
Matrix is a comprehensive Agentic AI Framework that provides enterprise-grade tools and services for building intelligent applications. The framework is built on .NET 8 and follows a modular, layered architecture pattern.
graph TD
subgraph Client[Client Layer]
Portal[Angular Portal]
ClientApp[Client Application]
end
subgraph Gateway[API Gateway]
ServiceGateway[Matrix.ServiceGateway]
end
subgraph CoreLayers[Core Framework Layers]
AgenticLayer[Agentic Layer]
ModelLayer[Model Layer]
DataSourceLayer[Data Source Layer]
IngestionLayer[Ingestion Layer]
MessagingLayer[Messaging Layer]
end
subgraph DataLayer[Data Layer]
Storage[Data Storage]
Messaging[Message Queues]
VectorDB[Vector Database]
end
Client --> Gateway
Gateway --> CoreLayers
CoreLayers --> DataLayer
Assembly: Matrix.Portal, Client.csproj
Modern Angular-based web application providing user interface for:
- Agent Management
- Data Source Configuration
- Model Registry
- System Monitoring
.NET 8 client application for programmatic access to the framework.
Assembly: Matrix.ServiceGateway
Primary entry point for all client-server communications:
- Request routing
- Authentication/Authorization
- Rate limiting
- Request/Response transformation
- Monitoring and logging
Namespace: Matrix.AgenticLayer
Assembly: Matrix.AgenticLayer.AgentRegistry
public interface IAgentRegistry
{
Task<Agent> RegisterAgent(AgentRegistration registration);
Task<Agent> GetAgent(string agentId);
Task<IEnumerable<Agent>> GetAgents(AgentQuery query);
}Assembly: Matrix.AgenticLayer.BaseAgent
public abstract class BaseAgent
{
protected virtual Task Initialize();
protected abstract Task Execute();
protected virtual Task Cleanup();
}Assembly: Matrix.AgenticLayer.Builders
public interface IAgentBuilder
{
IAgentBuilder WithCapability<T>() where T : IAgentCapability;
IAgentBuilder WithConfiguration(AgentConfiguration config);
Task<IAgent> BuildAsync();
}Namespace: Matrix.ModelLayer
- Model Registration
- Model Versioning
- Model Deployment
- Model Monitoring
public interface IModelRegistry
{
Task<Model> RegisterModel(ModelRegistration registration);
Task<Model> GetModel(string modelId, string version);
Task<IEnumerable<Model>> GetModels(ModelQuery query);
}Namespace: Matrix.DataSourceLayer
Supports multiple data source types:
- Structured (Databases)
- Semi-structured (JSON, XML)
- Unstructured (Text, Documents)
- Multimedia (Images, Audio, Video)
- Streaming (Real-time data)
- Vector (Embeddings)
public interface IDataSourceConnector
{
Task<Connection> Connect(ConnectionParameters parameters);
Task<QueryResult> ExecuteQuery(Query query);
Task<StreamingResult> StreamData(StreamingParameters parameters);
}Namespace: Matrix.IngestionLayer
-
Chunking Service
- Document splitting
- Context preservation
- Metadata extraction
-
Configuration Service
- Pipeline configuration
- Processing rules
- Validation rules
-
Connectors
- Azure Search Integration
- Custom source connectors
Namespace: Matrix.MessagingLayer
-
Messaging Engine
- Message routing
- Event publication
- Message transformation
-
Azure Service Bus Connector
- Queue management
- Topic subscription
- Message filtering
- Task scheduling
- Priority management
- Resource allocation
- Task monitoring
- Rule engine integration
- Decision tree processing
- Inference engine
- Reasoning framework
- Authentication providers
- Authorization rules
- Data encryption
- Audit logging
- Health checks
- Performance metrics
- Alert configuration
- Dashboard integration
- Template processing
- Multi-format support
- Version control
- Content validation
- Data connectors
- Protocol adapters
- Transform mappings
- Integration patterns
POST /api/agents
GET /api/agents
GET /api/agents/{id}
PUT /api/agents/{id}
DELETE /api/agents/{id}POST /api/models
GET /api/models
GET /api/models/{id}/versions/{version}
PUT /api/models/{id}
DELETE /api/models/{id}POST /api/datasources
GET /api/datasources
GET /api/datasources/{id}
PUT /api/datasources/{id}
DELETE /api/datasources/{id}- .NET 8 SDK
- Node.js 18+
- Angular CLI
- Azure subscription (optional)
src/
├── Client/
├── Framework/
│ ├── AgenticLayer/
│ ├── ModelLayer/
│ ├── DataSourceLayer/
│ ├── IngestionLayer/
│ └── MessagingLayer/
└── Tests/
dotnet build Matrix.slndotnet test Matrix.sln- Azure App Service
- Azure SQL Database
- Azure Service Bus
- Azure Cognitive Search
- Azure Key Vault
{
"ServiceGateway": {
"BaseUrl": "https://api.example.com",
"ApiVersion": "v1"
},
"Authentication": {
"Authority": "https://login.microsoftonline.com/",
"Audience": "api://matrix"
}
}- Azure AD integration
- JWT token validation
- Certificate-based auth
- API key management
- Role-based access control
- Resource-based authorization
- Scope validation
- Claims transformation
- Follow C# coding conventions
- Use dependency injection
- Implement interface segregation
- Maintain loose coupling
- Unit tests per component
- Integration tests
- Performance tests
- Security tests
- Structured logging
- Correlation IDs
- Performance metrics
- Audit trails
- Application Insights integration
- Custom metrics
- Alert rules
- Dashboard templates
- Logging levels
- Diagnostic tools
- Health checks
- Error handling
- v1.0.0 - Initial release
- v1.1.0 - Added vector database support
- v1.2.0 - Enhanced security features