The latest Cookie DeFAI Hackathon has unveiled a series of groundbreaking DeFAI (Decentralized Finance + AI) projects, marking a significant evolution beyond simple abstraction layers and autonomous trading agents. More teams are now leveraging on-chain data and social sentiment analysis, bringing truly unique use cases to life.
This hackathon focused on multiple key areas, including AI-driven trading agents, cross-chain DeFi interactions, security auditing, SocialFi, and Web3 asset management, demonstrating DeFAI’s growing impact on the fintech landscape.
Top DeFAI Projects from the Hackathon
1. AlphaSwarm: Python-Based DeFAI Trading Toolkit
Developer: 0xJeff
AlphaSwarm is a Python-powered DeFAI autonomous trading agent toolkit that allows users to fetch real-time market and social signals from Cookie DAO and execute natural language-based trading strategies across multiple blockchains. This innovation lowers the barrier to AI-driven trading, making it more accessible to a wider audience.
2. Edwin: TypeScript-Powered DeFAI Infrastructure
Developer: Edwin
Edwin provides a DeFAI infrastructure for AI agents to interact seamlessly with DeFi protocols, enabling the creation of AI agents that can perform liquidity provision (LP), lending, and cross-chain interactions. Built on TypeScript, this framework makes it easy for developers to build and deploy decentralized AI-driven trading systems.
3. Homo Memetus: Tokenized AI Trading Strategies
Developer: Homo Memetus
This project introduces a DeFAI ecosystem where trading strategies are tokenized and compete against each other (or against humans) to identify the most profitable strategies through natural selection. This evolutionary approach enhances AI-driven financial decision-making.
4. Anti-Rug Agent: AI Security Tool for Solana
Anti-Rug Agent is an AI-powered security tool built for the Solana ecosystem, capable of analyzing liquidity, wallet activity, insider transactions, trade bundling, and GitHub repositories. It generates AI security scores, making it a top-tier tool for conducting due diligence on DeFi investments.
5. BevorAI (Formerly CertaiK): AI-Powered Smart Contract Auditing
BevorAI has democratized decentralized smart contract auditing, allowing users to conduct AI-driven security audits in just 30 seconds. The team recently launched AI Agent Security Scoring and LARP Analysis, further enhancing the efficiency and transparency of Web3 security audits.
6. Kudo: cNFT Framework for Financial Contracts
Kudo introduces a contract NFT (cNFT) framework, enabling AI agents to engage in unsecured loans, employment agreements, and complex financial applications. This innovation enhances the functionality of DeFAI agents, making the Web3 economy more intelligent and flexible.
7. Egg AI: AI-Powered Copy Trading Agent
Egg AI integrates AI research, market analysis, and trade execution into a copy trading agent, featuring two distinct modes:
• Tren Egg: Fully automated copy trading.
• Chad Egg: Customizable trading strategies.
Additionally, Egg AI incorporates SocialFi + AI DYOR (Do Your Own Research) layers, offering traders enhanced market insights and execution strategies.
8. Aevia: Digital Legacy Management in Web3
Aevia is an AI-powered Web3 legacy management agent, allowing users to automatically transfer cryptocurrency, NFTs, and private messages to their heirs in the event of their passing. The team also developed a health check agent that periodically verifies user activity to ensure proper activation of inheritance protocols.
DeFAI Moves from Concept to Real-World Application
The projects showcased at this hackathon demonstrate that DeFAI is evolving beyond theoretical discussions and beginning to shape the future of Web3 trading, security, automation, and SocialFi.
As AI and DeFi continue to merge, autonomous AI agents, on-chain social sentiment analysis, and decentralized security audits are set to disrupt traditional financial models, making the Web3 ecosystem more efficient, secure, and intelligent.
🚀 The future of DeFAI is here—are you ready?
News Source:0xJeff，This article does not represent our position.
