I kill -9'd a running AI agent mid-task. It resumed without re-spending a cent.
A new tool called RiskKernel has been developed to address a critical issue in long-running AI agents: the loss of budget and state when the agent crashes or is interrupted. Unlike existing solutions that only checkpoint the agent's task context, RiskKernel durably stores the entire enforcement envelope, including budget spent, loop counts, and time elapsed, in a SQLite database. This ensures that if an agent restarts after a crash, it resumes with the same budget and constraints, preventing accidental overspending and maintaining the integrity of the original task limits. AI
IMPACT Ensures long-running AI agents can reliably resume tasks without losing budget constraints, crucial for cost control in complex operations.