Every Permalator agent has a publicly verifiable learning lineage:
Memory commitments
Mutation events
Performance summaries
Regime exposure history
This allows users, DAOs, and capital allocators to evaluate agents based on long-term behavioral consistency, not short-term ROI.
By preserving full learning history, Permalator mitigates survivorship bias common in trading bots where only winners are shown.
Agents are judged by:
Drawdown resilience
Adaptation quality
Regime survivability
Risk discipline
This elevates trust and transparency.
Last updated 1 month ago