Agent AI - Intelligent Workflow Builder

Agent AI is a powerful, visual workflow automation platform designed to help you build, deploy, and manage intelligent agents. With a drag-and-drop interface, you can connect various services, integrate AI capabilities, and automate complex logic without writing extensive code.

demo video

https://youtu.be/5CXx0gR7MdQ?si=dlsRVP9XFIVQQLap

Images

🚀 Features

• Visual Workflow Builder: Intuitive node-based editor to design your agent's logic.
• AI-Powered: Integrate with advanced LLMs to process text, generate content, and make decisions.
• Robust Integrations:
  • Communication: Discord, Slack, Email.
  • Productivity: Google Sheets, Google Forms.
  • Data: Database (PostgreSQL/Neon) support for querying and manipulation.
• Core Logic Nodes:
  • Webhooks: Trigger workflows from external events.
  • HTTP Requests: Make API calls to any service.
  • Code Execution: Run custom JavaScript/TypeScript code.
  • Logic Control: Conditions, Filters, and Scheduling.
• Real-time Processing: Built on Kafka for reliable, high-throughput event handling.

🛠️ Tech Stack

• Framework: Next.js (React)
• Language: TypeScript
• Styling: Tailwind CSS, Shadcn UI
• Database: PostgreSQL (via Neon), Drizzle ORM
• Authentication: Better Auth
• Event Streaming: Apache Kafka
• State Management: Jotai, React Query

📋 Prerequisites

Before you begin, ensure you have the following installed:

• Node.js (v18 or higher)
• npm, yarn, or pnpm
• A Neon database account (or any PostgreSQL instance)
• A Kafka broker (local or hosted, e.g., Upstash)

🔧 Environment Variables

Create a .env file in the root directory and add the following variables:

# Database
DATABASE_URL="postgresql://user:password@host:port/dbname"

# Authentication (Better Auth)
GOOGLE_CLIENT_ID="your_google_client_id"
GOOGLE_CLIENT_SECRET="your_google_client_secret"
GITHUB_CLIENT_ID="your_github_client_id"
GITHUB_CLIENT_SECRET="your_github_client_secret"
BETTER_AUTH_SECRET="your_auth_secret"

# Kafka
KAFKA_BROKERS="broker1:port,broker2:port"
# KAFKA_USERNAME="your_username" # If using SASL
# KAFKA_PASSWORD="your_password" # If using SASL

# Other integrations (as needed)
# DISCORD_TOKEN=...
# SLACK_TOKEN=...
# OPENAI_API_KEY=...

⚡ Getting Started

1. Clone the repository:

   git clone https://github.com/yourusername/agent-ai.git
   cd agent-ai

2. Install dependencies:

   npm install
   # or
   yarn install
   # or
   pnpm install

3. Set up the database:

   Make sure your .env is configured, then push the schema:

   npm run db:push

4. Run the development server:

   npm run dev

   Open http://localhost:3000 with your browser to see the application.

📦 Scripts

• npm run dev: Starts the development server.
• npm run build: Builds the application for production.
• npm run start: Starts the production server.
• npm run lint: Runs lints.
• npm run db:push: Pushes Drizzle schema changes to the database.
• npm run db:studio: Opens Drizzle Studio to view your data.

🚀 Deployment

The easiest way to deploy your Next.js app is to use the Vercel Platform.

Check out the Next.js deployment documentation for more details.