Original author: 0x Jeff
Original translation: TechFlow
Here are my thoughts on the @cookiedotfun DeFAI hackathon.
I didn’t discover until late in the event that projects with tokens were disqualified (even though many of these projects were highlighted on the Cookie DeFAI hackathon dashboard).
Even so, the hackathon still attracted many high-quality teams who built very unique products.
It can be seen from the list of winners that all the winning projects are brand new ideas.
Below, I’ll share a few of the most interesting projects, starting with those that were disqualified and working my way up to the eventual winners.
Let’s get started.
1. AlphaSwarm by @TheoriqAI
AlphaSwarm is a Python-based toolkit designed for DeFAI autonomous trading agents.
It allows users to get real-time market and social signals from @cookiedotfun and execute trading strategies on multiple blockchains through natural language. ( Click for details )
(See tweet for details)
2. Edwin by @buildwithedwin
Edwin is a TypeScript-based infrastructure designed to support AI agents interacting with DeFi protocols. Through Edwin, users can create DeFAI agents for liquidity provision (LPing), lending operations, and cross-chain interactions.
@aiymx_agent is the first agent providing real-time liquidity based on Edwin infrastructure.
(See tweet for details)
3.Homo Memetus by @homo_memetus
Homo Memetus is a DeFAI ecosystem that innovatively tokenizes trading strategies and simulates natural selection to allow these strategies to compete with each other (or with humans) to screen out the most profitable strategies.
The vision and roadmap of this project are impressive, but it is still in the very early stages of development. ( Click for details )
4.Anti-Rug Agent by @AntiRugAgent
Anti-Rug Agent is a comprehensive security tool designed for Solana developers.
It analyzes liquidity, wallets, internal transactions, code bases, and GitHub data through @repoanalyzer to provide users with AI security scores. This makes it one of the most powerful tools for due diligence (DD). ( Click for details )
5. BevorAI (formerly CertaiK)
@CertaiK_Agent is a tool based on Virtuals, dedicated to making smart contract auditing more popular. Through AI technology, it can complete the audit within 30 seconds, greatly improving efficiency.
The team recently launched the AI agent safety scoring feature and added LARP analysis (for identifying potential safety risks) as the latest feature. ( Click for details )
Special Mention (Agent Projects with Tokens)
@jailbreakme_xyz : Focuses on AI security and anti-cracking testing, which is crucial for the expansion and application of AI models.
Maya by @Flame__live : A unique DeFAI agent whose personality changes based on market dynamics and trading strategies, demonstrating the potential of AI personalization.
Cookie DeFAI Hackathon Winning Project (Non-Token Project)
Kudo
@kudo_archi proposed an innovative contract framework that can realize complex financial scenarios such as unsecured loans, employment agreements, etc. through Covenant NFT (cNFT). This framework provides the possibility for high-level financial interactions between intelligent entities. ( Click for details )
Egg AI
@egg_ai_agent is a copy trading agent that combines AI technology with market research, analysis and execution capabilities. It integrates the SocialFi (social finance) layer and the AI autonomous research and execution layer, providing two trading modes:
Tren Egg: Fully automated copy trading model.
Chad Egg: A trading model that allows users to customize control.
Aevia
@aeviaprotocol is the first agent that helps users preserve their digital legacy. When a user passes away, Aevia can programmatically pass messages, crypto assets, NFTs, etc. to loved ones. In addition, the team has developed an agent that can contact users regularly to ensure that they are doing well.
Special Mention
@AgentXYZ_ai : A trading terminal that combines social features and on-chain data insights. Recently launched AI-driven scoring system that can provide users with buy/sell operation recommendations.
Summarize
The Cookie DeFAI hackathon was a huge success, attracting many high-quality teams to build a series of innovative DeFAI products through the DataSwarm API provided by @cookiedotfun .
It’s a shame, though, that token-based projects were disqualified — many of these projects have developed mature products and are not just at the conceptual stage. Hopefully, the next Cookie DeFAI hackathon will include a more diverse group of participants, including teams with tokens.
Even so, the level of innovation at this event was still amazing. DeFAI is breaking through traditional abstraction layers and autonomous trading agents, and more and more projects are beginning to explore truly unique application scenarios using on-chain data and social sentiment data.
We have only just taken the first step.
The future of DeFAI is being created right now.
