Agenix - An AI Agent Marketplace

Prototype Demo: https://youtu.be/sq5AJ2MbMgY?si=hHuUwBSU3L0Kaa_1

🚀 Project Overview

Agenix is an advanced AI-powered marketplace platform that integrates multiple specialized AI agents to provide comprehensive marketing solutions. The platform combines a modern React frontend with a powerful Python backend, enabling users to create, configure, and execute complex marketing workflows seamlessly.

🎯 Key Features

Workflow Management

Drag-and-Drop Interface: Intuitive workflow builder with visual drag-and-drop functionality
Sequential Processing: Agents execute in user-defined order with real-time progress tracking
Dynamic Forms: Automatically generated input forms based on selected agents
Real-time Results: Instant visualization of agent outputs with markdown support
Multi-Agent Support: Integration with various specialized AI agents

AI-Powered Agents

Email Generator Agent
- Automated email content generation
- Personalized email campaigns
- A/B testing support
Blog Writer Agent
- AI-powered blog content generation
- SEO-optimized blog posts
- Multi-section structured content
Case Study Agent
- Automated case study generation
- Data-driven insights
- Visual report generation
Document Summarizer Agent
- Intelligent document summarization
- Key point extraction
- Content analysis
Web Crawler Agent
- Automated web data collection
- Content scraping
- Data analysis
YouTube Summarizer Agent
- YouTube video analysis
- Content summarization
- Trend identification
Image Generator Agent
- AI-powered image generation using Pollinations AI (free)
- Custom visual content creation
- Multiple model options (flux, flux-realism, flux-anime, flux-3d, turbo)
- No API key required
Job Agent
- Automated job posting analysis
- Candidate matching
- Market trend analysis

🛠️ Installation Guide

Prerequisites

Node.js (v18 or higher)
Python 3.9+
npm (Node Package Manager)
Git

Installation Steps

1. Clone and Setup Main Project

git clone https://github.com/ddihora1604/Agenix.git
cd Agenix
npm install

2. Create Individual Virtual Environments for Each Agent

Each agent requires its own virtual environment to avoid dependency conflicts:

Email Generator Agent:

cd Email_Generator_Agent
python -m venv venv
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate
pip install -r requirements.txt
deactivate
cd ..

Blog Writer Agent:

cd blog
python -m venv venv
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate
pip install -r requirements.txt
deactivate
cd ..

Case Study Agent:

cd CaseStudyAgent
python -m venv venv
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate
pip install -r requirements.txt
deactivate
cd ..

Web Crawler Agent:

cd webcrawler
python -m venv venv
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate
pip install -r requirements.txt
deactivate
cd ..

Job Agent:

cd JobAgent
python -m venv venv
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate
pip install -r requirements.txt
deactivate
cd ..

Document Summarizer Agent:

cd DocSummarizer
python -m venv venv
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate
pip install -r requirements.txt
deactivate
cd ..

YouTube Summarizer Agent:

cd YTSummarizer
python -m venv venv
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate
pip install -r requirements.txt
deactivate
cd ..

Image Generator Agent:

cd Fluxai/Fluxai
python -m venv venv
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate
pip install -r requirements.txt
deactivate
cd ../..

3. Configure API Keys

Create a single .env file in the root directory with all required API keys:

Root .env file (Agenix/.env):

# Google API Key (required for most agents)
GOOGLE_API_KEY=your_google_api_key_here

# Groq API Key (required for Blog Writer Agent)
GROQ_API_KEY=your_groq_api_key_here

# FAL API Key (optional - for legacy Image Generator compatibility)
FAL_API_KEY=your_fal_api_key_here

# HuggingFace Token (optional - for advanced NLP features)
HUGGINGFACE_API_TOKEN=your_huggingface_token_here

Note: The Image Generator Agent now uses Pollinations AI by default, which is completely free and requires no API key. The FAL API configuration is maintained for backward compatibility but is no longer used due to payment requirements.

4. Start the Development Server

npm run dev

The application will be available at http://localhost:3000

Agent-Specific Requirements

Agent	Key Dependencies	LangChain Version
Email Generator	`langchain==0.1.14`, `langchain-google-genai==0.0.11`	0.1.14 (Legacy)
Blog Writer	`langchain>=0.3.0`, `langchain-groq`	0.3.x (Modern)
Case Study	`langchain>=0.3.0`, `langchain-google-genai`	0.3.x (Modern)
Web Crawler	`langchain>=0.3.0`, `beautifulsoup4`, `faiss-cpu`	0.3.x (Modern)
Job Agent	`langchain>=0.3.0`, `PyPDF2`	0.3.x (Modern)
Document Summarizer	`langchain>=0.3.0`, `PyPDF2`, `python-dotenv`	0.3.x (Modern)
YouTube Summarizer	`langchain>=0.3.0`, `youtube-transcript-api`	0.3.x (Modern)
Image Generator	`requests`, `fal-client`, `python-dotenv`	N/A (Uses Pollinations AI - Free)

📁 Project Structure

Agenix/
├── .env                     # Centralized environment configuration (all API keys)
├── .eslintrc.json          # ESLint configuration
├── .git/                    # Git repository files
├── .gitignore              # Git ignore rules (includes all .env files)
├── .next/                   # Next.js build output
├── CaseStudyAgent/         # Case study generation agent
│   ├── venv/              # Isolated Python virtual environment
│   ├── requirements.txt   # Agent-specific Python dependencies
│   └── CaseStudyAgent/    # Agent source code
│       └── casestudy.py   # Main case study script
├── DocSummarizer/          # Document summarization agent
│   ├── venv/              # Isolated Python virtual environment
│   ├── requirements.txt   # Agent-specific Python dependencies
│   └── DocSummarizer/     # Agent source code
│       └── pdf_summarizer.py # Main PDF summarizer script
├── Email_Generator_Agent/  # Email generation agent
│   ├── venv/              # Isolated Python virtual environment
│   ├── requirements.txt   # Agent-specific Python dependencies
│   └── email_generator.py # Main email generation script
├── Fluxai/                 # AI image generation agent
│   └── Fluxai/            # Agent source code
│       ├── venv/              # Isolated Python virtual environment
│       ├── flux_ai.py     # Original FAL API implementation (deprecated)
│       ├── pollinations.py # New Pollinations AI implementation
│       └── requirements.txt # Agent-specific Python dependencies           
├── JobAgent/               # Job analysis agent
│   ├── venv/              # Isolated Python virtual environment
│   ├── requirements.txt   # Agent-specific Python dependencies
│   ├── JobAgent.py        # Main job agent script
│   └── JobAgent_lite.py   # Lightweight version
├── YTSummarizer/          # YouTube video analysis agent
│   ├── venv/              # Isolated Python virtual environment
│   ├── requirements.txt   # Agent-specific Python dependencies
│   └── YTSummarizer/      # Agent source code
│       └── ytsummarizer.py # Main YouTube summarizer script
├── blog/                   # Blog generation agent
│   ├── venv/              # Isolated Python virtual environment
│   ├── requirements.txt   # Agent-specific Python dependencies
│   ├── blog.py            # Main blog generation script
│   ├── check_api_key.py   # API key validation script
│   └── generated_blogs/   # Generated blog outputs
├── webcrawler/            # Web scraping agent
│   ├── venv/              # Isolated Python virtual environment
│   ├── requirements.txt   # Agent-specific Python dependencies
│   └── webcrawler/        # Agent source code
│       └── website_agent.py # Main web crawler script
├── public/                # Static assets
│   ├── images/           # Project images
│   ├── fonts/            # Web fonts
│   └── icons/            # UI icons
├── scripts/               # Utility scripts
│   └── create-sample-markdown.js  # Sample markdown generator
├── src/                   # Frontend source code (Next.js)
│   ├── app/              # Next.js app directory
│   │   ├── api/          # API routes for each agent
│   │   │   ├── blog-generator/route.ts      # Blog agent API
│   │   │   ├── case-study-agent/route.ts    # Case study API
│   │   │   ├── doc-summarizer/route.ts      # Document summarizer API
│   │   │   ├── email-generator/route.ts     # Email agent API
│   │   │   ├── image-generator/route.ts     # Image generator API (Pollinations)
│   │   │   ├── job-agent/route.ts           # Job agent API
│   │   │   ├── web-crawler/route.ts         # Web crawler API
│   │   │   ├── youtube-summarizer/route.ts  # YouTube summarizer API
│   │   │   └── check-api-key/route.ts       # Centralized API key validation
│   │   ├── agents/       # Agent-specific frontend pages
│   │   ├── dashboard/    # Main dashboard
│   │   └── workflows/    # Workflow management
│   ├── components/       # React components
│   ├── hooks/           # Custom React hooks
│   ├── lib/             # Utility libraries
│   ├── store/           # State management (Zustand)
│   └── styles/          # CSS/SCSS files
├── eslint.config.js     # ESLint configuration
├── next-env.d.ts       # Next.js TypeScript configuration
├── next.config.js      # Next.js configuration
├── package-lock.json   # Node package dependencies
├── package.json        # Frontend dependencies
├── postcss.config.js   # PostCSS configuration
├── tailwind.config.js  # Tailwind CSS configuration
├── tsconfig.json       # TypeScript configuration
└── README.md          # Project documentation

🛠️ Technical Stack

Frontend

Framework: Next.js 14 with App Directory
Styling: Tailwind CSS
State Management: Zustand
UI Components: Custom components with Tailwind + Lucide Icons
Form Handling: React Hook Form
Animations: Framer Motion
Linting: ESLint
Type Checking: TypeScript

Backend Architecture

API Layer: Next.js API Routes (TypeScript)
Agent Execution: Individual Python virtual environments
Process Management: Node.js spawn for Python execution
Environment Isolation: Separate venv for each agent to handle dependency conflicts

AI Agents & Dependencies

Language Models:
- Google Gemini (via LangChain Google GenAI)
- Groq (via LangChain Groq)
LangChain Versions:
- Email Generator: LangChain 0.1.14 (legacy compatibility)
- All other agents: LangChain 0.3.x (modern)
Document Processing: PyPDF2, BeautifulSoup4
Vector Storage: FAISS (for web crawler)
Data Processing: Pandas, Rich (for CLI output)

🧪Using Individual Agents

Email Generator
- Navigate to /agents/email-generator
- Enter email topic and context
- Click "Generate Email" - the system automatically:
  - Activates the Email Generator's Python venv
  - Checks for existing dependencies (LangChain 0.1.14)
  - Executes the email generation script
  - Returns formatted email content
Blog Writer
- Navigate to /agents/blog-writer
- Enter blog topic
- Click "Generate Blog" - the system automatically:
  - Activates the Blog Writer's Python venv
  - Uses modern LangChain 0.3.x with Groq API
  - Generates structured blog post with multiple sections
Case Study Agent
- Navigate to /agents/case-study-agent
- Enter case study topic and optional context URL
- Click "Generate Case Study" - creates comprehensive case studies
Web Crawler
- Navigate to /agents/web-crawler
- Enter website URL and analysis question
- The crawler analyzes content and provides insights
Job Agent
- Navigate to /agents/job-agent
- Upload job descriptions or enter job criteria
- Get automated job analysis and recommendations
Document Summarizer Agent
- Navigate to /agents/doc-summarizer
- Upload PDF documents or text files
- Click "Summarize" - the system automatically:
  - Activates the Document Summarizer's Python venv
  - Extracts and processes document content
  - Generates key points and comprehensive summaries
YouTube Summarizer Agent
- Navigate to /agents/youtube-summarizer
- Enter YouTube video URL
- Click "Summarize Video" - the system automatically:
  - Activates the YouTube Summarizer's Python venv
  - Extracts video transcript
  - Generates video summary and key insights
Image Generator Agent
- Navigate to /agents/image-generator
- Enter image description prompt
- Select style preferences (optional)
- Click "Generate Image" - the system automatically:
  - Activates the Image Generator's Python venv
  - Uses Pollinations AI for free image generation
  - Returns high-quality generated images
- Note: Previously used FAL API, now switched to Pollinations AI due to FAL's payment requirements

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Repository files navigation

Agenix - An AI Agent Marketplace

🚀 Project Overview

🎯 Key Features

Workflow Management

AI-Powered Agents

🛠️ Installation Guide

Prerequisites

Installation Steps

1. Clone and Setup Main Project

2. Create Individual Virtual Environments for Each Agent

3. Configure API Keys

4. Start the Development Server

Agent-Specific Requirements

📁 Project Structure

🛠️ Technical Stack

Frontend

Backend Architecture

AI Agents & Dependencies

🧪Using Individual Agents

About

Uh oh!

Releases

Packages

Uh oh!

Uh oh!

Contributors

Uh oh!

Languages

Name		Name	Last commit message	Last commit date
Latest commit History 39 Commits
CaseStudyAgent		CaseStudyAgent
DocSummarizer/DocSummarizer		DocSummarizer/DocSummarizer
Email_Generator_Agent		Email_Generator_Agent
Fluxai/Fluxai		Fluxai/Fluxai
JobAgent		JobAgent
YTSummarizer/YTSummarizer		YTSummarizer/YTSummarizer
blog		blog
public		public
scripts		scripts
src		src
webcrawler		webcrawler
.eslintrc.json		.eslintrc.json
.gitignore		.gitignore
README.md		README.md
eslint.config.js		eslint.config.js
next.config.js		next.config.js
package-lock.json		package-lock.json
package.json		package.json
postcss.config.js		postcss.config.js
tailwind.config.js		tailwind.config.js
tsconfig.json		tsconfig.json

Folders and files

Latest commit

History

Repository files navigation

Agenix - An AI Agent Marketplace

🚀 Project Overview

🎯 Key Features

Workflow Management

AI-Powered Agents

🛠️ Installation Guide

Prerequisites

Installation Steps

1. Clone and Setup Main Project

2. Create Individual Virtual Environments for Each Agent

3. Configure API Keys

4. Start the Development Server

Agent-Specific Requirements

📁 Project Structure

🛠️ Technical Stack

Frontend

Backend Architecture

AI Agents & Dependencies

🧪Using Individual Agents

About

Topics

Resources

Uh oh!

Stars

Watchers

Forks

Releases

Packages 0

Uh oh!

Uh oh!

Contributors

Uh oh!

Languages

Packages