🤖Airas Agent

Airas Agent booking a flight from Toronto to Dubai by autonomously browsing the web

Overview

Airas Agent is our AI-driven automation tool that interacts with websites, performs complex tasks, and even handles multi-step processes. Built with a focus on real-world assets (RWA), it’s ideal for gathering data on tokenized real estate, monitoring market trends, or automating repetitive tasks in the DeFi and NFT space.

Key Features

  • AI-Enhanced Navigation Interprets page layouts and elements using AI vision, so it can handle even dynamic or complex UIs.

  • Multiple AI Providers Switch between OpenAI or Ollama for different performance or cost needs.

  • Autonomous Workflow Give it a goal (e.g., “Find the latest tokenized property listings”) and watch it plan and execute the steps.

  • Browser-Based Automation Uses Playwright under the hood for stable, reliable multi-tab handling.

Installation

git clone https://github.com/airas-network/airas-agent.git
cd airas-agent
npm install
cp .env.example .env

Update your .env file with your preferred AI provider and credentials.

Configuration

AI_PROVIDER=openai
OPENAI_API_KEY=YOUR_API_KEY
OPENAI_MODEL=gpt-4o-mini
# For Ollama
OLLAMA_BASE_URL=http://localhost:11434
OLLAMA_MODEL=llama3.1

Use timeouts, logging, and screenshot options to suit your workflow.

Usage

  1. Start the Agent Run: npm run dev Then open http://localhost:3000 in your browser.

  2. Set a Goal For example: “Monitor real estate listings and find anything under $500k.”

  3. Observe Automation Watch Airas Agent open new tabs, click through listings, and gather data.

Use Cases

  • Real Estate Scouting Automate scanning of multiple listing sites for undervalued properties.

  • DeFi Tasks Farm yields or claim rewards across various protocols.

  • NFT Market Analysis Compare prices, traits, or trading volumes on multiple marketplaces.

  • Compliance Checks Scrape KYC/AML data across relevant platforms.

Best Practices

  • Set Clear Goals The more specific your instructions, the better the results.

  • Use Logging Enable logs to debug or optimize workflows.

  • Stay Updated Pull the latest changes from GitHub for new features and improvements.

Next Steps

  • Integrate with Airas Cloud to handle large-scale data scraping.

  • Use Airas Assistant to interpret findings and generate insights.

  • Explore advanced custom actions for specialized real-world asset workflows.

Check out GitHub

Check out Airas Agent on GitHub: https://github.com/airas-network/airas-agent

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