feat(wiki): ingest nexus-spatial-discovery — 8-agent product discovery exercise

Ingest raw/Agent/agency-agents/examples/nexus-spatial-discovery.md
Source: 8 The Agency agents parallel discovery exercise for Nexus Spatial
Products: AI spatial command center (SpatialAIOps category)
Key findings: 2D-first/WebXR strategy, debugging as killer use case

Entities created: Nexus-Spatial, CrewAI
Concepts created: SpatialAIOps, Command-Theater-Interface,
  Debugging-Visualization, Semantic-Zoom, Growth-Loop
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---
title: "CrewAI"
type: entity
tags: [ai-agents, multi-agent, orchestration, open-source]
last_updated: 2026-04-26
---
## Overview
开源多 Agent 编排框架,100,000+ 开发者使用,以快速执行著称。
## Key Characteristics
- **CLI-first**:命令行优先,最小化可视化工具
- **Rapid execution**:以速度为核心竞争优势
- **Role-based agents**:基于角色的 Agent 设计(CEO/Manager/Worker 等)
- **Task delegation**:任务委派和结果聚合
## Competitive Position
在 [[nexus-spatial-discovery]] 的竞争分析中:
- **Strength**:100K+ 开发者生态,快速执行
- **UX Gap**:CLI-first,最小化可视化工具,无法直观理解复杂 Agent 关系
- **Implication**:Nexus Spatial 的 3D 可视化填补了 CrewAI 的可视化空白
## Related
- [[LangChain]] / [[n8n]]:同类竞争产品
- [[Nexus-Spatial]]:SpatialAIOps 产品定位,填补 CrewAI 可视化缺口

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---
title: "Nexus Spatial"
type: entity
tags: [product, spatial-computing, ai-agents, spatial-aiops, the-agency]
last_updated: 2026-03-05
---
## Overview
AI Agent 沉浸式 3D 命令中心——一个 VisionOS + WebXR 应用,为 AI Agent 编排提供空间化的监控、构建和协作环境。
由 8 个 [[The-Agency]] 专业 Agent 并行协作规划([[nexus-spatial-discovery]]),10 分钟 wall-clock time 产出完整产品规划。
## Core Capabilities
- **3D Node Graph Visualization**:将 Agent 工作流可视化为 3D 节点图,数据流朝向用户
- **Real-time Spatial Monitoring**:实时监控面板以空间面板形式展示
- **Drag-and-Drop 3D Workflow Building**:3D 空间内拖放构建工作流
- **Shared Spatial Collaboration**:多人进入共享 3D 空间协作
- **AI Support Agent in Workspace**:支持代理以内嵌节点形式存在于用户空间工作区
## Pricing
| Tier | Price | Target |
|------|-------|--------|
| Explorer | Free | 开发者、solo builders(3 agents,WebXR viewer)|
| Pro | $99/user/month | 小团队(25 agents,协作)|
| Team | $249/user/month | 中型 AI 团队(unlimited agents,分析)|
| Enterprise | Custom ($2K-10K/mo) | 大型企业(SSO,RBAC,on-prem,SLA)|
## Strategy
- **Phase 1 (Months 1-6)**:2D web dashboard with Three.js 2.5D → 50 paying teams,$60K MRR
- **Phase 2 (Months 6-12)**:WebXR spatial mode → 200 teams,$300K MRR
- **Phase 3 (Months 12-18)**:Native VisionOS app(仅在 spatial 需求验证后)→ 500 teams,$1M+ MRR
## Technical Architecture
- Orchestration engine:Rust(亚毫秒调度,零 GC 停顿)
- WebXR client:TypeScript + React Three Fiber
- VisionOS client:Swift 6 + SwiftUI + RealityKit
- Collaboration:Yjs (CRDT) + WebRTC
- 8-service architecture:Auth / Workspace / Workflow / Orchestration / Collaboration / Streaming / Plugin / Billing
## Key Insights from Discovery
1. **2D-first, spatial-second**:所有 8 个 Agent 独立得出相同结论
2. **Debugging is the killer use case**:空间叠加调试追踪是 3D 真正优于 2D 的场景
3. **WebXR over VisionOS**:~100 万 Vision Pro 安装量无法支撑业务;Safari 2025 年末采纳 WebXR
4. **"War room" collaboration**:多人共享 3D 空间进行事故响应是最强的空间价值主张
## Related Entities
- [[SpatialAIOps]]:Nexus Spatial 定义的新品类
- [[Product-Trend-Researcher]]:验证市场机会
- [[Brand-Guardian]]:定义品牌定位
- [[Backend-Architect]]:设计技术架构
- [[Growth-Hacker]]:规划 GTM 策略
- [[UX-Researcher]]:识别用户痛点
- [[XR-Interface-Architect]]:设计空间界面
- [[LangChain]] / [[CrewAI]] / [[n8n]]:主要竞争产品