开源平台Agyn支持可扩展的AI代理运行，实现代码化定义与零信任安全。
Agyn: An Open-Source Platform for AI Agents with Scalable On-Demand Execution, Agent Definition as a Code, and Zero-Trust Access
- 基于Kubernetes的信号驱动、有状态无服务器运行时
- 通过Terraform提供代理与环境的代码化定义
- 零信任架构保障高权限代理的安全隔离
随着组织将AI代理投入生产环境，其执行非确定性工作流、维护有状态会话，并常拥有对内部服务的高权限访问，工程挑战已从单个代理构建转向规模化运行时的隔离、治理与安全。本文提出Agyn，一个开源平台，围绕三个核心原则设计：基于Kubernetes的信号驱动、有状态的无服务器运行时；用于代理与运行环境定义的Terraform提供程序；以及基于零信任和最小权限原则的安全模型。Agyn具备代理无关性、模型无关性和云无关性。
原文摘要 · Abstract (English)
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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