Agentfield

Agentfield is an open-source platform designed to build, deploy, and operate AI agents on production-grade infrastructure. It provides a Kubernetes-native and IAM-aware foundation that allows teams to run autonomous and semi-autonomous agents reliably, securely, and at scale. The platform focuses on turning experimental agent workflows into maintainable, observable, and auditable services suitable for real-world environments.

Agentfield integrates tightly with Kubernetes to manage agent lifecycles, resource allocation, scaling policies, and fault tolerance using familiar cloud-native patterns. Its IAM capabilities enable fine-grained control over what each agent can access—APIs, data stores, tools, and external services—reducing security and compliance risks. The platform supports configuration-as-code, enabling teams to define agent behaviors, tools, and permissions declaratively, and to version-control changes. Built-in observability features help monitor agent performance, trace actions, and debug failures, providing transparency into complex multi-agent workflows.