Kiro Agent
Our production AI agent runtime — Kubernetes-native deployment, goal-driven execution, elastic scaling.
What Kiro Agent does
Kiro Agent is the infrastructure layer between your AI agent code and your production environment. It handles deployment, scaling, failure recovery, and observability.
Key features
- YAML configuration — define agents like you define Kubernetes workloads
- Goal-driven execution — agents track progress through structured goals, not just single prompts
- Failure recovery — agents resume from the last successful step, not from scratch
- Elastic scaling — 1 pod during quiet periods, 100 during peak load
- Sandboxing — each agent runs with minimal, explicitly granted permissions
Framework compatibility
Kiro wraps your existing agent code. It works with LangChain, CrewAI, AutoGen, or custom implementations. No rewrite required.
What you need
- A Kubernetes cluster (existing or we help provision)
- Agent code in any supported framework
- Defined goals and tool access for each agent
Monitoring
Standard Prometheus metrics, OpenTelemetry tracing, structured logs. Your existing DevOps team manages it with the tooling they already know.