RiskKernel, kill -9 an AI agent and resume it without paying twice
RiskKernel is an open-source, self-hosted reliability runtime for AI agents: deterministic cost, loop, and time budgets with a kill switch, crash-resumable runs, and human-approval gates. Your keys, your infra, no telemetry. Point it at the agents you already run with one environment variable.
RiskKernel, kill -9 an AI agent and resume it without paying twice launched on June 10, 2026 with 5 votes, #2,466 of 22,647 launches that month and more than 75% of that year's launches.
What it does
RiskKernel puts deterministic cost, loop, and time budgets around your agents, with a real kill switch, crash-resumable runs, and human-approval gates. Self-hosted, your keys, no telemetry. Point it at the agents you already run with one environment variable. One Go binary. Works with OpenAI, Anthropic, and your existing stack. Frameworks orchestrate agents. They do not put hard limits around them. So the same failures keep shipping to production, and they cost real money the moment an agent runs unattended. Budgets, kill switches, and approvals belong in statically-typed code that runs the same way every time, not in a prompt. RiskKernel is that layer. Set a dollar and token budget per…from riskkernel.com
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RiskKernelJun 2026 · github.com · ▲25Deterministic cost / loop / time budgets · full observability · crash-resumable runs · human-approval gates · a memory you own. Self-hosted. Your keys. No telemetry. Point it at your existing agents - one env var. - prashar32/riskkernel


RunwallJul 2026 · runwall.vercel.app · ▲9A Runtime security layer that lets AI agents execute safely
Open-source playground to red-team AI agents with exploits publishedMar 2026 · github.com · ▲30We build runtime security for AI agents. The playground started as an internal tool that we used to test our own guardrails. But we kept finding the same types of vulnerabilities because we think about attacks a certain way. At some point you need people who don't think like you. So we open-sourced it. Each challenge is a live agent with real tools and a published system prompt. Whenever a challenge is over, the full winning conversation transcript and guardrail logs get documented publicly. Building the general-purpose agent itself was probably the most fun part. Getting it to reliably use…

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