Clyro

What it does

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.

Most AI agents fail in production. Not because the model is bad. Because the infrastructure is missing. Clyro

Governance layer that catches runaway loops, caps the cost of every run and blocks actions that break your business rules, without changing how you build. Try free for 5 agents, 100K traces/month. No credit card required. Works with LangGraph, CrewAI, Claude Agent SDK, Anthropic SDK and any Python callable. An autonomous coding agent entered a loop and ran continuously for 11 days, generating $47,000 in API costs before anyone intervened. Runtime controls like loop detection, cost bounds and step limits that Clyro brings to stop failures before they escalate. An AI ordering agent added 260 McNuggets to a single customer order after incorrectly interpreting the request. Runtime guardrails…from clyro.dev

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