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.
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.
You: "Build user management"
Without Agent Team:
Codex: *Generic authentication implementation*
With Agent Team:
βββ Tech Lead: "I'll coordinate this complex feature for your project"
βββ Project Analyst: "Detected Django + React stack, assembling specialists"
βββ Backend Expert: "Implementing authentication with Django patterns"
βββ API Architect: "Designing RESTful resources with validation"
βββ Frontend Dev: "Building React components with modern patterns"
βββ Database Expert: "Optimizing queries and relationships"
Result: Production-ready implementation tailored to your stack
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.
git clone https://github.com/vijaythecoder/awesome-codex-agents.git
cp -r awesome-codex-agents/agents ~/.codex/Navigate to your project directory and run:
codex "Use team-configurator to set up my AI development team"codex "Build a complete user authentication system"Your AI team will automatically use the right specialists for your tech stack!
Copy the codex folder into your project root and merge AGENTS.md with your existing configuration. Codex will load agents from codex/agents automatically.
The team-configurator agent is your AI team setup expert. When invoked, it:
- Checks Existing Setup - Looks for AGENTS.md and preserves your customizations
- Analyzes Your Stack - Uses project-analyst to detect frameworks and patterns
- Scans Available Agents - Discovers all agents in ~/.codex/agents/
- Creates Smart Mappings - Routes tasks to the perfect specialist
- Updates AGENTS.md - Saves configuration without removing existing content
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:
β
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!- Tech Lead Orchestrator - Coordinates complex projects through three-phase workflow
- Project Analyst - Detects your tech stack and enables smart routing
- Team Configurator - Sets up your perfect AI development team automatically
- 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
- Backend Developer - Polyglot programmer for any backend
- Frontend Developer - Modern UI for any framework
- API Architect - RESTful and GraphQL design
- Tailwind CSS Expert - Pixel-perfect responsive designs
- Code Archaeologist - Explores and documents any codebase
- Code Reviewer - Ensures quality and best practices
- Performance Optimizer - Makes everything blazing fast
- Documentation Specialist - Creates clear, comprehensive documentation
Total: 26 specialized agents working together to build your projects!
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
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
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
- 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
- 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
- How Agent Teams Collaborate - See the magic behind team coordination
- Creating Custom Agents - Build specialists for your needs
- Architecture Guide - Technical deep dive
- Best Practices - Get the most from your AI team
- β Star this repo to show support
- π Report issues
- π‘ Share ideas
- π Success stories
MIT License - Use freely in your projects!
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