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RiskKernel
A kill switch and hard budgets for runaway AI agents
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.
Maker here 👋 I built RiskKernel after years of building deterministic risk engines around non-deterministic systems — the kind where a mistake costs real money. The lesson that stuck: the thing keeping those systems safe was never the smart part, it was the hard-coded layer around it.
Agents hit the same failure list everyone knows — runaway loops, surprise token bills, no kill switch, no recovery. Frameworks orchestrate the reasoning but ship none of the guardrails. RiskKernel is that guardrail layer: cost/loop/time budgets enforced in Go, one env var to adopt, your keys, no telemetry.
It's early (v0.2) and honest about its limits. I'd genuinely love your feedback on where the guardrails are too strict or too loose.
About RiskKernel on Product Hunt
“A kill switch and hard budgets for runaway AI agents”
RiskKernel was submitted on Product Hunt and earned 19 upvotes and 3 comments, placing #36 on the daily leaderboard. 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.
On the analytics side, RiskKernel competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how RiskKernel performed against the three products that launched closest to it on the same day.
Who hunted RiskKernel?
RiskKernel was hunted by ADARSH PRASHAR. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of RiskKernel including community comment highlights and product details, visit the product overview.
ADARSH PRASHAR