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Awesome Codex Agents - AI Development Team πŸš€

Supercharge Codex with a team of specialized AI agents that work together to build complete features, debug complex issues, and handle any technology stack with expert-level knowledge.

🎯 The Problem & Solution

While Codex is powerful, complex projects need specialized expertise. Generic AI responses often miss best practices, leading to suboptimal code.

Our solution: A team of specialized AI agents that work together, each with deep expertise in their domain. Just like a real development team, but available 24/7.

πŸ’‘ See The Difference

You: "Build user management"

Without Agent Team:
Codex: *Generic authentication implementation*

With Agent Team:
β”œβ”€β”€ Tech Lead: "I'll coordinate this complex feature for your project"
β”œβ”€β”€ Project Analyst: "Detected Django + React stack, assembling specialists"
β”œβ”€β”€ Backend Expert: "Implementing authentication with Django patterns"
β”œβ”€β”€ API Architect: "Designing RESTful resources with validation"
β”œβ”€β”€ Frontend Dev: "Building React components with modern patterns"
└── Database Expert: "Optimizing queries and relationships"

Result: Production-ready implementation tailored to your stack

⚠️ Important Notice

This project is experimental and token-intensive. I'm actively testing these agents with a high-token Codex environment - expect high token consumption during complex workflows. Use with caution and monitor your usage.

πŸš€ Quick Start (2 Minutes)

1. Install the Agents

git clone https://github.com/vijaythecoder/awesome-codex-agents.git
cp -r awesome-codex-agents/agents ~/.codex/

2. Configure for Your Project

Navigate to your project directory and run:

codex "Use team-configurator to set up my AI development team"

3. Start Building

codex "Build a complete user authentication system"

Your AI team will automatically use the right specialists for your tech stack!

πŸ›  Plug & Play with Codex

Copy the codex folder into your project root and merge AGENTS.md with your existing configuration. Codex will load agents from codex/agents automatically.

🎯 How Auto-Configuration Works

The team-configurator agent is your AI team setup expert. When invoked, it:

  1. Checks Existing Setup - Looks for AGENTS.md and preserves your customizations
  2. Analyzes Your Stack - Uses project-analyst to detect frameworks and patterns
  3. Scans Available Agents - Discovers all agents in ~/.codex/agents/
  4. Creates Smart Mappings - Routes tasks to the perfect specialist
  5. Updates AGENTS.md - Saves configuration without removing existing content

Three-Phase Orchestration

Your Tech Lead coordinates work through:

  • Research Phase - Multiple specialists gather information in parallel
  • Planning Phase - Creates tasks with TodoWrite, identifying dependencies
  • Execution Phase - Agents work together, sharing context efficiently

Example output for a Django + React project:

βœ… Project Optimization Complete!

Detected Stack:
- Backend: Django 4.2 (Python)
- Frontend: React 18 with TypeScript
- Database: PostgreSQL

Configured Specialists:
- API: @django-api-developer
- Backend: @django-backend-expert
- Frontend: @react-component-architect
- Database: @django-orm-expert

Your AI development team is ready!

πŸ‘₯ Meet Your AI Development Team

🎭 Orchestrators (3 agents)

πŸ’Ό Framework Specialists (15 agents)

  • Laravel - Backend Expert, API Architect, Eloquent Expert
  • Django - Backend Expert, API Developer, ORM Expert
  • Rails - Backend Expert, API Developer, ActiveRecord Expert
  • React - Component Architect, State Manager, Next.js Expert
  • Vue - Component Architect, State Manager, Nuxt Expert

🌐 Universal Experts (4 agents)

πŸ”§ Core Team (4 agents)

Total: 26 specialized agents working together to build your projects!

Browse all agents β†’

🎬 Real-World Examples

E-commerce Shopping Cart

You: "Add a shopping cart to my online store where users can add products, 
update quantities, and see the total price with tax calculation"

Tech Lead orchestrates:
β†’ Research: 
  β€’ Project Analyst detects Laravel + Vue.js stack
  β€’ Code Archaeologist examines existing product/user models
  β€’ API Architect reviews current endpoint patterns
  
β†’ Planning: Creates tasks for cart schema, API endpoints, UI components
  
β†’ Execution:
  β€’ Laravel Backend Expert creates Cart model and relationships
  β€’ Laravel API Architect builds RESTful cart endpoints
  β€’ Vue Component Architect implements reactive cart sidebar
  β€’ Backend Developer integrates tax calculation API

Result: Working cart with persistent storage, guest checkout support, 
        and automatic tax calculation based on user location

User Authentication System

You: "I need users to sign up with email verification, login with remember me 
option, and reset forgotten passwords"

Tech Lead orchestrates:
β†’ Research:
  β€’ Project Analyst identifies Django + React setup
  β€’ Code Reviewer checks security requirements
  β€’ Django Backend Expert reviews existing User model
  
β†’ Planning: User model extension, JWT tokens, email templates, auth forms
  
β†’ Execution:
  β€’ Django Backend Expert implements registration with email verification
  β€’ Django API Developer creates secure auth endpoints
  β€’ React Component Architect builds responsive login/signup forms
  β€’ Performance Optimizer adds rate limiting and caching

Result: Complete auth system with JWT tokens, secure password hashing,
        email verification, and forgot password flow

Analytics Dashboard

You: "Show me daily active users, revenue trends for last 30 days, and 
top-selling products in a dashboard"

Tech Lead orchestrates:
β†’ Research:
  β€’ Project Analyst detects Rails + React with PostgreSQL
  β€’ Performance Optimizer profiles current query performance
  β€’ Rails Backend Expert identifies data sources
  
β†’ Planning: Aggregation queries, caching strategy, chart components
  
β†’ Execution:
  β€’ Rails ActiveRecord Expert writes optimized analytics queries
  β€’ Performance Optimizer implements Redis caching layer
  β€’ React Component Architect builds interactive Chart.js visualizations
  β€’ Rails API Developer creates efficient data endpoints

Result: Real-time dashboard with sub-second load times, export functionality,
        and mobile-responsive design

πŸ”₯ Why Teams Beat Solo AI

  • Specialized Expertise: Each agent masters their domain with deep, current knowledge
  • Real Collaboration: Agents coordinate seamlessly, sharing context and handing off tasks
  • Tailored Solutions: Get code that matches your exact stack and follows its best practices
  • Parallel Execution: Multiple specialists work simultaneously for faster delivery

πŸ“ˆ The Impact

  • Ship Faster - Complete features in minutes, not days
  • Better Code Quality - Every line follows best practices
  • Learn As You Code - See how experts approach problems
  • Scale Confidently - Architecture designed for growth

πŸ“š Learn More

πŸ’¬ Join The Community

πŸ“„ License

MIT License - Use freely in your projects!

Star History

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Transform Codex into an AI development team that ships production-ready features
Simple setup. Powerful results. Just describe and build.

GitHub β€’ Documentation β€’ Community

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