Agyn: An Open-Source Platform for AI Agents with Scalable On-Demand Execution, Agent Definition as a Code, and Zero-Trust Access
Agyn, introduced in a paper on arXiv (2605.27575), is an open-source platform designed for production-grade AI agent deployments. It addresses the challenges of operating agents with non-deterministic workflows, stateful sessions, and privileged access. The platform is built on three principles: a signal-driven, stateful serverless runtime on Kubernetes; a Terraform provider for defining agents and harnesses as code; and a zero-trust, least-privilege security model. Agyn is agent-agnostic, model-agnostic, and cloud-agnostic, allowing integration with various AI models and cloud providers. The platform aims to simplify scaling, isolation, and governance of agent workloads, making it suitable for enterprise adoption. No specific pricing or release date is mentioned; it is available as open-source.
Agyn provides a standardized, secure infrastructure for deploying AI agents at scale.