veWMV Governance Model

WeMintVerse implements a vote-escrowed token model β€” veWMV β€” to align long-term incentives with decentralized governance. This system ensures that those who commit to the platform over time gain proportionally greater influence in shaping its future. veWMV Governance Model Diagram

Mechanics

  • Earning veWMV

    Users can lock their WMV tokens to receive veWMV, with voting power proportional to the lock duration. A maximum lock of 2 years yields a full 1:1 veWMV ratio. Shorter locks result in reduced voting power.

  • Linear Decay

    veWMV decays linearly over the lock period. As the unlock date approaches, the voting power gradually reduces to zero, ensuring time-weighted consistency across governance participation.

  • Flexible Re-Locking

    Users may extend or compound their lock duration at any time to maintain or boost their governance weight.

veWMV Utility

  • Governance Participation

    veWMV holders can vote on key platform proposals, including planetary launches, token emissions, protocol parameters, and treasury allocation.

  • Access Rights

    Certain features β€” such as deploying new planets, registering AI agents, or accessing curated modules β€” require users to hold or burn a specific amount of veWMV.

  • Future Revenue Sharing

    As the platform matures, revenue-sharing mechanisms may be introduced. Only veWMV holders will be eligible to receive protocol-aligned distributions, proportional to their locked stake.

Design Principles

  • Anti-Short-Term Governance Attacks

    The time-weighted locking mechanism prevents "buy-in-and-vote-out" strategies by ensuring that governance power accrues only through long-term alignment.

  • Long-Term Commitment Rewards

    The longer the lock, the more veWMV earned β€” reinforcing long-range conviction and platform loyalty.

  • Foundation for Autonomous Governance

    veWMV serves as the foundational primitive for both intra-planetary governance and cross-ecosystem consensus formation, driving the platform toward self-organized scalability.

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