AI Storage Agent
Building a decentralized AI agent on 0G infrastructure for high-performance data storage and real-time scaling
Videos
Tech Stack
Description
AI Storage Agent: Modular Infrastructure on 0G
Project Overview:
This is a high-performance automated agent built to bridge the gap between real-time data and decentralized storage. It uses custom Python logic to scrape and process intelligence, which is then securely committed to the 0G Storage Network.
Technical Stack:
- Backend: Python (Selenium, BeautifulSoup)
- Storage: 0G Storage Network (Testnet)
- Innovation: Full mobile-based development environment.
Goal:
To provide a verifiable and scalable data layer for decentralized AI models, ensuring data integrity and high av
ailability.
Progress During Hackathon
Hackathon Milestones Achieved:
1. Architecture Design: Completed the system flow for AI-to-Storage integration.
2. Development: Built and tested the data retrieval module (Scraper) with bot-evasion logic.
3. Network Integration: Successfully mapped the storage workflow to the 0G Testnet environment.
4. Mobile Optimization: Successfully executed the entire development cycle on a mobile device to prove accessibil
ity.
Fundraising Status
Current Status: Bootstrapped / No Prior Funding
This project is currently in the early development stage and has not raised any external capital or institutional funding. We are focused on building the core infrastructure during this hackathon to demonstrate the feasibility of AI-driven decentralized storage on the 0G Networ
k.