# The Agency ## Definition The Agency 是一个由 AI 编码代理(agent)驱动的多智能体开发系统,提供 **147 个专业化 Agent** 跨 **12 个业务部门**运作,涵盖 Engineering、Design、Finance、Game Dev、Marketing、Paid Media、Product、Project Management、Testing、Support、Spatial Computing、Specialized 等领域。 ## Organizational Structure ``` The Agency ├── Engineering(工程部门) ├── Design(设计部门) │ ├── UI Designer │ ├── Brand Guardian │ ├── Visual Storyteller │ ├── UX Researcher │ ├── Image Prompt Engineer │ ├── Inclusive Visuals Specialist │ └── Whimsy Injector ├── Finance(财务部门) ├── Game Dev(游戏开发部门) ├── Marketing(市场营销部门) ├── Paid Media(付费媒体部门) ├── Product(产品部门) ├── Project Management(项目管理部门) ├── Testing(测试部门) ├── Support(支持部门) ├── Spatial Computing(空间计算部门) │ ├── XR Interface Architect │ ├── XR Immersive Developer │ ├── XR Cockpit Interaction Specialist │ ├── visionOS Spatial Engineer │ └── macOS Spatial/Metal Engineer └── Specialized(专业部门) ├── Study Abroad Advisor ├── Agents Orchestrator ├── Identity Graph Operator ├── MCP Builder Agent ├── Agentic Identity & Trust Architect ├── Civil Engineer ├── Document Generator ├── Government Digital Presales Consultant ├── Healthcare Marketing Compliance Specialist ├── Compliance Auditor ├── Workflow Architect ├── Corporate Training Designer ├── Cultural Intelligence Strategist ├── Model QA Specialist └── LSP/Index Engineer ``` ## Core Design Principles 1. **鲜明性格**(拒绝通用人设)——每个 Agent 拥有明确的专业边界和独特性格 2. **明确交付物**(真实代码/模板)——每个 Agent 的输出可量化、可验证 3. **可量化指标**——每个 Agent 定义明确的成功指标 4. **经过验证的工作流**——Agent 行为遵循经过测试的工作流程 5. **学习记忆机制**——Agent 具备上下文记忆和自我改进能力 ## Contribution Model The Agency 接受外部贡献,核心方式: - 创建全新智能体(8 大分类) - 优化现有智能体 - 分享成功案例 - 反馈问题 详见 [[contributing_zh-cn]] 和 [[contributing]](英文原版)。 ## Relationship to Multi-Agent Reliability The Agency 是 [[multi-agent-system-reliability]] 理论的最佳实践场域——通过 Agent 间协作模式(Orchestration、Consensus Voting、Adversarial Debate、Knock-out)实现系统级可靠性。[[identity-graph-operator]] 解决 Agent 间身份一致性问题,[[agentic-identity-trust]] 解决 Agent 间信任与授权问题,共同构成完整的多智能体基础设施。 ## Aliases - The Agency Multi-Agent System - Agency Agents