Governance
MindGrid governance is designed to coordinate a growing on-chain machine economy without introducing operational friction or slowing protocol execution. Governance focuses on parameter control, incentive alignment, and ecosystem direction, not day-to-day system operations.
The protocol itself remains autonomous. Governance defines how it evolves.
Governance Scope
Governance applies to protocol-level decisions that affect the entire ecosystem, including:
Staking pool parameters and reward curves
Module onboarding and deprecation rules
Revenue distribution logic
Protocol fees and treasury flows
Security policies and emergency controls
Execution-level logic (payments, execution, settlement) is not governed and cannot be modified through voting.
Governance Participants
Governance power is derived from $MIND, but participation is structured to favor long-term alignment rather than short-term speculation.
Participants include:
$MIND holders
Active stakers in module pools
Module developers with deployed revenue
Core protocol maintainers (limited scope)
Voting weight may combine:
This discourages idle voting and rewards real ecosystem contribution.
Proposal Lifecycle
Governance follows a structured, transparent flow:
Key characteristics:
All proposals are public and versioned
Votes are recorded on-chain
Approved changes are delayed via timelocks
Emergency actions are strictly limited and auditable
What Governance Can Change
Examples of governable parameters include:
Staking pool APY formulas
Revenue share percentages
Module admission requirements
Fee routing (protocol vs pool vs treasury)
Slashing conditions for misreported telemetry
Governance cannot:
Seize funds
Alter historical revenue data
Modify executed contracts
Override payment settlement
Treasury & Sustainability
Governance oversees protocol treasury allocation, including:
Infrastructure development
Security audits
Ecosystem grants
Strategic partnerships
Treasury spending is proposal-based and time-bound, ensuring capital is deployed with clear intent and accountability.
Why Governance Matters
MindGrid governance is not about control, it is about coordination at scale.
As robotic software becomes autonomous, composable, and economically active, governance ensures:
Fair value distribution
Protocol neutrality
Long-term sustainability
Resistance to centralized capture
Governance is the layer that allows the MindGrid machine economy to grow without losing trust, transparency, or direction.
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