
Production AI agents loop, burn tokens, and have no kill switch. RiskKernel is an open-source, self-hosted runtime that puts hard limits around any agent: per-run cost, loop, and time budgets, all enforced in Go — never by an LLM. Point an existing agent at it with one env var. Your keys, your infra, no telemetry. Plus crash-resume, human approval gates on side-effecting tools, and OpenTelemetry export. Apache-2.0. The LLM proposes; deterministic code disposes.
RiskKernel is an open-source runtime that enforces strict limits on AI agents, including cost, loop, and time budgets, using Go. It allows developers to integrate existing agents with minimal configuration while ensuring control over infrastructure and data.