AIMay 26

Agyn: An Open-Source Platform for AI Agents with Scalable On-Demand Execution, Agent Definition as a Code, and Zero-Trust Access

arXiv:2605.2757564.1h-index: 1Has Code
Predicted impact top 61% in AI · last 90 daysOriginality Synthesis-oriented
AI Analysis

For organizations deploying AI agents in production, Agyn provides a scalable, secure, and governance-compliant platform, though it is an incremental engineering contribution rather than a novel research breakthrough.

Agyn introduces an open-source platform for deploying AI agents at scale, featuring a stateful serverless runtime on Kubernetes, infrastructure-as-code agent definitions, and zero-trust security. The platform is agent-, model-, and cloud-agnostic, addressing production challenges like isolation and governance.

As organizations move toward production deployments of AI agents, which execute non-deterministic workflows, maintain stateful sessions, and often operate with privileged access to internal services, the engineering challenge shifts from building individual agents to operating them at scale with proper isolation, governance, and security. In this paper we present Agyn, an open-source platform designed around three key principles tailored for agent workloads: a signal-driven, stateful serverless runtime on Kubernetes; a Terraform provider for agent and harness definition; and a security model grounded in zero-trust and least-privilege principles. Agyn is agent-agnostic, model-agnostic, and cloud-agnostic.

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