Agyn: An Open-Source Platform for AI Agents with Scalable On-Demand Execution, Agent Definition as a Code, and Zero-Trust Access
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arXiv:2605.27575v1 Announce Type: new Abstract: 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
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✦ AI Summary· Claude Sonnet
Computer Science > Artificial Intelligence
[Submitted on 26 May 2026]
Agyn: An Open-Source Platform for AI Agents with Scalable On-Demand Execution, Agent Definition as a Code, and Zero-Trust Access
Nikita Benkovich, Vitalii Valkov
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.
Subjects: Artificial Intelligence (cs.AI)
Cite as: arXiv:2605.27575 [cs.AI]
(or arXiv:2605.27575v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2605.27575
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Submission history
From: Nikita Benkovich [view email]
[v1] Tue, 26 May 2026 18:48:04 UTC (187 KB)
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