Agent System Architecture

Specialized agents work together in perfect harmony to create complex applications efficiently.

🎯 Multi-Agent Orchestration

8
Specialized Agents
61
MCP Integrations
3
Max Concurrent

🤖 Specialized Agents

Each agent is an expert in their domain with specialized knowledge and capabilities.

Frontend Specialist

Handles UI/UX, components, and client-side functionality

Key Responsibilities:

  • • React/Vue components
  • • Responsive design
  • • State management
  • • User interactions

Technologies:

React
Vue
Angular
TypeScript
CSS
Tailwind

Backend Specialist

Manages server-side logic, APIs, and business rules

Key Responsibilities:

  • • API development
  • • Business logic
  • • Authentication
  • • Data processing

Technologies:

Node.js
Python
Go
Java
Express
FastAPI

Database Specialist

Designs and implements data storage solutions

Key Responsibilities:

  • • Schema design
  • • Query optimization
  • • Data modeling
  • • Migrations

Technologies:

PostgreSQL
MongoDB
MySQL
Redis
Prisma
TypeORM

Testing Specialist

Ensures code quality through comprehensive testing

Key Responsibilities:

  • • Unit tests
  • • Integration tests
  • • E2E testing
  • • Test automation

Technologies:

Jest
Playwright
Cypress
Vitest
Storybook
Testing Library

Designer Specialist

Focuses on UI/UX design and visual consistency

Key Responsibilities:

  • • Design systems
  • • Component styling
  • • Accessibility
  • • Visual design

Technologies:

Figma
Tailwind CSS
CSS-in-JS
Design tokens
SCSS

DevOps Specialist

Handles deployment, CI/CD, and infrastructure

Key Responsibilities:

  • • CI/CD pipelines
  • • Docker containers
  • • Cloud deployment
  • • Monitoring

Technologies:

Docker
Kubernetes
GitHub Actions
Vercel
AWS
Terraform

Mobile Specialist

Develops cross-platform mobile applications

Key Responsibilities:

  • • Mobile UI
  • • Platform APIs
  • • Performance
  • • App store deployment

Technologies:

React Native
Flutter
Expo
Swift
Kotlin

Research Specialist

Provides real-time research and technology insights

Key Responsibilities:

  • • Technology research
  • • Best practices
  • • Library selection
  • • Performance analysis

Technologies:

Web scraping
API research
Documentation analysis
Benchmarking

🔄 Collaboration Patterns

Agents use different collaboration strategies depending on project requirements and complexity.

Sequential Handoffs

Agents complete work in sequence, passing results to the next

Example: Database → Backend → Frontend → Testing

Parallel Execution

Multiple agents work simultaneously on independent tasks

Example: Frontend + Backend + Database working concurrently

Cross-Agent Review

Agents review and validate each other's work

Example: Testing agent validates Frontend and Backend implementations

Dynamic Coordination

Agents adapt and coordinate based on project needs

Example: Research agent provides insights to inform other agents

🔗 Inter-Agent Communication

Context Sharing

  • • Shared project context and requirements
  • • Real-time progress updates and notifications
  • • Automatic conflict detection and resolution
  • • Token-optimized communication protocols

Quality Assurance

  • • Cross-agent code review and validation
  • • Consistency checks across all components
  • • Automated integration testing
  • • Performance and security auditing