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Clyro
Control AI agents safely at runtime
Most AI agents fail in production. Not because the model is bad. Because the infrastructure is missing. Clyro's Agent Kernel stops loops, bounds costs, and enforces business logic before failures happen. Clyro adds runtime governance to AI agents, preventing failures before they reach production. Wrap any agent with policy enforcement, execution guardrails, loop detection, cost controls, audit logs, and runtime visibility.
About Clyro on Product Hunt
“Control AI agents safely at runtime”
Clyro was submitted on Product Hunt and earned 29 upvotes and 16 comments, placing #21 on the daily leaderboard. Most AI agents fail in production. Not because the model is bad. Because the infrastructure is missing. Clyro's Agent Kernel stops loops, bounds costs, and enforces business logic before failures happen. Clyro adds runtime governance to AI agents, preventing failures before they reach production. Wrap any agent with policy enforcement, execution guardrails, loop detection, cost controls, audit logs, and runtime visibility.
On the analytics side, Clyro competes within Developer Tools and Tech — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Clyro performed against the three products that launched closest to it on the same day.
Who hunted Clyro?
Clyro was hunted by ISTIAK AHMAD. 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 Clyro including community comment highlights and product details, visit the product overview.
Hey Product Hunt 👋 I'm Arpan, co-founder of Clyro.
We kept seeing AI agents go off the rails in ways nobody caught in time. An agent gets stuck waiting on another agent, which is waiting on it right back, and it just runs like that for days because nothing technically threw an error.
Most tools we tried are observability tools. They tell you what happened after the fact. We wanted something that steps in while the agent is still running, before things spiral.
That's Clyro. A Prevention Stack that sits alongside your agent and enforces hard limits in real time.
Cost caps and loop detection catch a runaway agent early instead of letting it burn through your budget for days
Step limits and guardrails stop it from taking actions you never approved
An open-source SDK you can wire into an existing agent in a few minutes
It's free to try. Solo devs and full teams can both test it on their own agents right now, no commitment.
One thing I'd love to know: what scares you most about running agents in production? Runaway cost, wrong actions, or silent loops you can't see? Tell me and that's what we'll go after next.
— Arpan