🔐 Multi-Agent AI Orchestration System

A comprehensive multi-agent AI orchestration platform featuring secure Retrieval-Augmented Generation (RAG), advanced research capabilities, voice interactions, MCP integration, and sophisticated memory management using Mastra AI framework.

Overview

A comprehensive multi-agent AI orchestration platform that combines secure Retrieval-Augmented Generation (RAG) with advanced research capabilities, web scraping, content analysis, voice interactions, MCP integration, and sophisticated memory management. Built with enterprise-grade security featuring hierarchical RBAC, document classification, and multi-agent security pipelines to ensure users only access authorized corporate knowledge while enabling powerful AI-driven research and analysis workflows.

Key Features

• Hierarchical RBAC: Roles inherit access (public → employee → dept viewer/admin → admin)
• Document Classification: Public/internal/confidential with tag-based filtering
• Multi-Agent Orchestration: 20+ specialized agents for research, analysis, content creation, and security
• Advanced Research: Web scraping, multi-phase research workflows, and content evaluation
• Voice Integration: Google Gemini Live voice capabilities for conversational AI
• MCP Integration: Model Context Protocol support for enhanced agent capabilities
• Secure RAG: Enterprise-grade retrieval with access controls and audit trails
• Advanced Memory: Persistent memory with semantic recall and working memory templates
• Content Analysis: Learning extraction, evaluation scoring, and quality assessment
• Audit-Ready: Citations, logs, and compliance validation throughout

Architecture

flowchart TD
    %% Frontend Layer
    subgraph "🎨 Frontend Layer"
        A[Next.js App RouterReact 19 + TypeScript]
        B[Cedar OS IntegrationProduct Roadmap UI]
        C[React ComponentsChat, Auth, Indexing]
        D[Shared LibrariesJWT, MDX, Hooks]
    end
    
    %% Backend Layer  
    subgraph "⚙️ Backend Layer"
        E[Mastra CoreOrchestration Engine]
        F[AI Agents27+ Specialized Agents5 Domains]
        G[Workflows10+ Multi-step OrchestrationComplex Tasks]
        H[Tools & Services50+ ToolsBusiness Logic]
        I[API RoutesChat & IndexingStreaming]
    end
    
    %% Data Layer
    subgraph "💾 Data Layer"
        J[(PostgreSQL + PgVectorVector EmbeddingsDocument Storage)]
        K[(Content CorpusMarkdown FilesRAG Source)]
    end
    
    %% External Services
    subgraph "🔗 External Services"
        L[Google GeminiAI Models]
        M[OpenAILLM Services]
        N[Data SourcesAlpha Vantage, FinnhubSerpAPI, Polygon]
        O[Academic SourcesArXiv, Research APIs]
    end
    
    %% Agent Categories (detailed breakdown)
    subgraph "🤖 Agent Categories"
        P1[Governed RAG Agentsidentity, retrieve, rerankanswerer, verifier]
        P2[Domain Agentsresearch, copywritercryptoAnalysis, compliance]
        P3[Specialized AgentsproductRoadmap, salesIntelligencestockAnalysis, voiceAgent]
        P4[Orchestration Agentsa2aCoordinator, assistanteditor, evaluation]
    end
    
    %% Workflow Categories
    subgraph "🔄 Workflow Categories"
        Q1[Chat WorkflowsMultiple VersionsReal-time Conversation]
        Q2[Analysis WorkflowsFinancial Analysis V3Research Workflow]
        Q3[Content WorkflowsContent GenerationReport Generation]
        Q4[RAG WorkflowsGoverned RAG AnswerGoverned RAG Index]