🌄Agent Governance Framework

As the ecosystem scales, effective governance becomes essential. AgentsLab introduces a multi-layered governance architecture designed to balance decentralization with functionality.

Governance Layers:

• Platform-Level Governance: $AL token holders vote on platform-wide proposals such as feature rollouts, model additions, and protocol upgrades.

• Per-Agent Sub-Governance: Individual agents can be governed by custom token-holding structures for behavior updates, permission assignments, and persona changes.

• Plugin Governance: Community-led decisions on plugin listing, usage permissions, pricing, and revocation.

Incentives:

• Governance participants may receive rewards such as voting incentives, agent performance dividends, and ecosystem-based airdrops.