About RiskKernel
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.
What you should know about RiskKernel
RiskKernel — A kill switch and hard budgets for runaway AI agents. It is categorized under AI Tools . On Product Hunt, this tool has received 19 upvotes from the maker community.
Pricing & licensing: Pricing details are not publicly disclosed at the moment .
Use cases & topics: RiskKernel is associated with the following topics: Open Source, Developer Tools, Artificial Intelligence, GitHub. Teams working in Open Source / Developer Tools / Artificial Intelligence spaces typically evaluate this kind of tool when scoping new architecture decisions or replacing legacy components.
Getting started: Visit the official site to sign up, explore pricing tiers, and start onboarding your team. Most teams hit value within the first week if the tool aligns with their existing AI Tools stack.
Editor's note from Fanny Engriana (Founder, Wardigi Digital Agency): when evaluating tools in the AI Tools category for our agency clients, we look at three things first — license clarity, community size, and active maintenance. Tools with explicit license terms and ongoing commits tend to remain viable across multi-year projects.