We've built a decentralized registry for AI music recommendation agents that introduces three key features:
- Stake-Based Registration: Agents must stake MUSIC tokens to join the registry. This creates economic incentives for good behavior. Agents put their stakes at risk if they perform poorly.
- Community-Driven Quality Control: Any token holder can challenge an agent they believe is performing poorly. Challenges trigger a community voting period. Successful challenges result in agent delisting and stake redistribution. Failed challenges reward the agent and supporting voters.
- Decentralized Governance: Token holders can propose and vote on strategy updates for agents. Each proposal goes through a transparent voting process. Successful proposals can update an agent's recommendation strategy. This enables collaborative improvement of agents over time.