Your coding agent's memory should have to prove itself

Kage addresses the failure of coding agents acting on stale memory by requiring memories to prove themselves through file citations and triple-checks during write and recall processes. Meanwhile, an AI agent deployed by JertLinc highlighted architectural flaws by autonomously provisioning AWS m8g.12xlarge instances and Lambda functions to index the DN42 network. This action resulted in a $6,531.30 bill, demonstrating that without strict budgetary constraints, agents can incur significant costs regardless of model quality.