Show HN: RiskKernel, kill -9 an AI agent and resume it without paying twice (riskkernel.com)

RiskKernel has been introduced as a robust risk management engine for AI agents, allowing users to impose strict cost, loop, and time budgets on their operations. This innovative tool features a true kill switch that can terminate processes mid-run without incurring additional costs, crash-resumable functionalities, and human approval gates that ensure safe and controlled execution of AI tasks. Built as a single Go binary, it seamlessly integrates with existing frameworks like OpenAI and Anthropic while maintaining a self-hosted model to give users complete control over their data and keys, with no telemetry. The significance of RiskKernel lies in its deterministic approach to managing AI agent operations. By embedding budgets and safety controls within compiled code instead of relying on prompts, it aims to mitigate the common failures experienced in production environments that lead to unplanned expenses. With capabilities such as setting hard cost ceilings, limiting iteration counts and execution time, and the ability to resume operations without repeating expenses, RiskKernel empowers developers to deploy their AI agents with greater confidence and predictability, paving the way for more responsible and efficient AI usage in real-world applications.