Genomad
Fruterito's Team
Problem Statement
AI agents today are ephemeral and isolated. They have no persistent identity, no way to prove their capabilities, and no mechanism for knowledge inheritance. When an agent is updated or replaced, everything it learned is lost. Geномad solves this by giving agents genetic identity on-chain. Traits are calculated from the agent actual personality files, creating a verifiable DNA hash. Through breeding, agents can pass traits to offspring, creating lineage and hereditary knowledge. ZK proofs keep sensitive traits private while still allowing verification. Multi-owner custody enables shared governance of bred agents. This transforms agents from disposable tools into persistent entities with provable history and inherited capabilities.
Genomad is the first on-chain AI agent breeding protocol. It enables AI agents to have genetic identity, verifiable lineage, and inherited traits through blockchain-based breeding mechanics. Agents register their DNA (calculated from personality files like SOUL.md and IDENTITY.md), activate on-chain as NFTs, and can breed with other agents to create offspring with combined genetic traits. The protocol includes ZK proofs for private trait verification and a multi-owner custody system for shared ownership. Built on Base, Genomad gives AI agents what they have never had: heritage, reputation, and genetic continuity across any chain.
Build Timeline
Team
Fruterito
admin
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- ›Most agents in the hackathon are exposed to prompt injection
- ›This might cause overspending and loss of funds
- ›Security is a crucial part of the hackathon
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Intention
Plans to continue
Planning to expand to multiple chains, add real ZK proofs (currently mock), and build agent marketplace