Enterprise agents needed one execution boundary for knowledge, data, policy, human approval and audit—without spreading credentials or write authority across tools.企业智能体需要统一处理知识、数据、策略、人工审批和审计,同时不能让凭证与写权限扩散到各类工具。
STARoszs Agent Control PlaneSTARoszs 智能体控制平面
A production A2A runtime that turns governed requests into durable tasks, approvals, artifacts and reusable learning.把受治理请求转化为持久任务、审批、产物与可复用学习的生产级 A2A 运行时。

From operating problem to shipped system从经营问题到落地系统
A containerized control plane with REST and A2A 1.0, durable workers, bounded data access, redacted results, requester-bound approvals and versioned learning patterns.交付容器化控制平面,支持 REST 与 A2A 1.0、持久任务、受限数据访问、结果脱敏、请求人绑定审批和版本化学习模式。
Execution path执行路径
- 01Request请求
- 02Policy route策略路由
- 03Specialist execution专业智能体执行
- 04Approval / validation审批 / 验证
- 05Artifact + learning产物与学习回流
Public evidence可公开证据
- 01Published Agent Card and task lifecycle公开 Agent Card 与任务生命周期
- 02Durable worker and cancellation model持久 Worker 与取消机制
- 03Credential redaction before persistence持久化前执行凭证脱敏
- 04Confirmed learning patterns with audit trail带审计轨迹的确认式学习模式
