[论文] Agyn: An Open-Source Platform for AI Agents with Scalable On-Dema...

论文概要

研究领域: AI
作者: Nikita Benkovich, Vitalii Valkov
发布时间: 2026-05-28
arXiv: 2605.27575

中文摘要

随着组织将AI智能体推向生产部署--这些智能体执行非确定性工作流、维护有状态会话,且常以特权访问内部服务--工程挑战已从构建单个智能体转向大规模运营它们,同时确保适当的隔离、治理和安全性。本文介绍了Agyn--一个围绕三大核心原则构建的开源平台:Kubernetes上的信号驱动、有状态无服务器运行时;用于智能体和Harness定义的Terraform Provider;以及基于零信任和最小权限原则的安全模型。Agyn与智能体无关、与模型无关、与云平台无关。

原文摘要

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.

自动采集于 2026-05-29

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