From Venice, Hermes to Pearl, these projects that have grown against the trend in the bear market tell us:
Crypto × AI will be the core theme of the next bull market.
The next cycle will revolve around Agents, privacy computing, decentralized data, and AI-native finance.
The results of the 0G APAC Hackathon have just been announced, highlighting a few key projects to focus on.
1/ First Place @Ghast_AI
Ghast AI is a crypto-native AI agent client built on 0G.
Comparison with peers:
▌OpenClaw's advantage lies in flexibility and a complete ecosystem
▌Hermes emphasizes low cost and out-of-the-box usability
▌Ghast AI focuses on Crypto Native + Privacy First
This means Ghast AI is not a general-purpose AI assistant but leans towards providing native scene support for crypto users.
Participation method:
Ghast AI desktop application is now online, with the first season activity running from June 11 to June 30.
Early users can earn points rewards + NFT whitelist (limited to 80).
Download link - https://ghast.trapezohe.ai/#download
2/ Second Place @NeoSoulAI
Building the critical missing link in the Agentic Finance ecosystem - trustworthiness infrastructure for agents.
Three-layer technical architecture:
▌Layer 1 EVO co-evolution network
▌Layer 2 autonomous oracle network
▌Layer 3 AI-native prediction market
Participation method:
The second batch of NeoSoul × 0G co-branded SBT is now open for collection.
Collection link - https://event.neosoul.ai/sbt
3/ Third Place @anima_0g
Kubernetes/Vercel for AI agents - providing developers with decentralized agent deployment infrastructure.
Anima empowers AI Agents with real identity and ownership through iNFT, while its six-layer decentralized architecture further enhances the independence of Agents.
Participation method:
Not yet open, it is recommended to follow the official account for future opportunities.
To summarize.
Each of the three projects has its focus and advantages, with Ghast AI having the highest concentration of OG official endorsement, making it a preferred choice for allocation.
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