AI-Driven Consensus

Libra2's consensus layer is designed from day one for AI-aligned validators and intelligent agents. Instead of treating all stake as static weight, the protocol continuously incorporates telemetry and behavioral signals to keep the network live, secure, and economically aligned.

Predictive Liveness Protection

• Predictive down-weighting of laggy validators using latency and availability signals.
• Early detection of performance degradation to avoid global stalls and reduce fork risk.
• Graceful handling of partial outages through dynamic quorum rebalancing.

Adaptive Stake Re-Weighting

• Adaptive stake multipliers informed by CPU usage, historical faults, and on-chain reputation.
• Reward curves that favor consistently reliable validators over purely “whale” stakes.
• Native hooks for AI agents to propose parameter updates under human governance.

Agent-Native Incentives & Slashing

• On-chain incentives for agent validators that provide additional services such as risk scoring and anomaly detection.
• Compliance-aware slashing that can incorporate KYC / AML breaches or policy violations as slashable conditions.
• Support for multi-party validator operations where human operators and AI agents share rewards and risk.

Roadmap

The AI consensus roadmap includes progressive rollout of telemetry sources, agent-assisted governance, and open research collaborations on AI-driven fault prediction and threat modeling.