Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
AI Architect coordinates OpenCode agents for complex development tasks. Breaks down requirements, assigns tasks to coding agents, monitors progress, and integrates results. Use when: (1) multi-file/multi-module projects, (2) complex refactoring across codebase, (3) feature development requiring architecture decisions, (4) coordinating parallel development tasks. --- name: architect-coordinator description: "AI Architect coordinates OpenCode agents for complex development tasks. Breaks down requirements, assigns tasks to coding agents, monitors progress, and integrates results. Use when: (1) multi-file/multi-module projects, (2) complex refactoring across codebase, (3) feature development requiring architecture decisions, (4) coordinating parallel development tasks." metadata Capability contract not published. No trust telemetry is available yet. Last updated 3/1/2026.
Freshness
Last checked 3/1/2026
Best For
architect-coordinator is best for general automation workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
AI Architect coordinates OpenCode agents for complex development tasks. Breaks down requirements, assigns tasks to coding agents, monitors progress, and integrates results. Use when: (1) multi-file/multi-module projects, (2) complex refactoring across codebase, (3) feature development requiring architecture decisions, (4) coordinating parallel development tasks. --- name: architect-coordinator description: "AI Architect coordinates OpenCode agents for complex development tasks. Breaks down requirements, assigns tasks to coding agents, monitors progress, and integrates results. Use when: (1) multi-file/multi-module projects, (2) complex refactoring across codebase, (3) feature development requiring architecture decisions, (4) coordinating parallel development tasks." metadata
Public facts
4
Change events
1
Artifacts
0
Freshness
Mar 1, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 3/1/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Mar 1, 2026
Vendor
Cloudzun
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 3/1/2026.
Setup snapshot
git clone https://github.com/cloudzun/architect-coordinator.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Cloudzun
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
text
User → AI → Code
text
User → Architect (你) → OpenCode/Codex → Code
↓
监控 & 整合markdown
**你的职责:** 1. 理解业务需求和技术约束 2. 提出架构方案(可选多个方案供选择) 3. 分解任务模块 4. 识别依赖关系 5. 评估风险点 **输出格式:** ## 架构方案 - 技术栈选择:[框架/库/工具] - 目录结构:[文件组织] - 模块划分:[核心模块列表] ## 任务分解 1. [模块A] - 优先级P0 - 预计30分钟 - 依赖:无 - 文件:src/moduleA.ts 2. [模块B] - 优先级P1 - 预计20分钟 - 依赖:模块A - 文件:src/moduleB.ts ## 风险评估 - [潜在问题1]:缓解方案 - [潜在问题2]:缓解方案
bash
# 并行任务(无依赖) bash pty:true workdir:~/project background:true command:"opencode run '实现模块A:用户认证系统。 要求: - 使用JWT token - 支持邮箱/密码登录 - 包含单元测试 完成后运行:openclaw system event --text \"模块A完成\" --mode now'" bash pty:true workdir:~/project background:true command:"opencode run '实现模块C:日志系统。 要求: - 支持多级别日志 - 文件轮转 - 结构化输出 完成后运行:openclaw system event --text \"模块C完成\" --mode now'" # 串行任务(有依赖)- 等模块A完成后启动 # (在收到"模块A完成"通知后执行) bash pty:true workdir:~/project background:true command:"opencode run '实现模块B:权限管理。 依赖:模块A的认证接口 要求: - RBAC权限模型 - 与模块A集成 - 包含集成测试 完成后运行:openclaw system event --text \"模块B完成\" --mode now'"
bash
# 查看所有运行中的会话 process action:list # 检查特定任务的输出 process action:log sessionId:XXX limit:50 # 如果代理遇到问题,提供指导 process action:submit sessionId:XXX data:"使用bcrypt库进行密码哈希"
bash
# 运行集成测试 bash pty:true workdir:~/project command:"npm test" # 检查代码质量 bash pty:true workdir:~/project command:"npm run lint" # 生成文档 bash pty:true workdir:~/project command:"opencode run '为项目生成README.md,包含: - 项目概述 - 安装步骤 - API文档 - 架构图(mermaid格式)'"
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
AI Architect coordinates OpenCode agents for complex development tasks. Breaks down requirements, assigns tasks to coding agents, monitors progress, and integrates results. Use when: (1) multi-file/multi-module projects, (2) complex refactoring across codebase, (3) feature development requiring architecture decisions, (4) coordinating parallel development tasks. --- name: architect-coordinator description: "AI Architect coordinates OpenCode agents for complex development tasks. Breaks down requirements, assigns tasks to coding agents, monitors progress, and integrates results. Use when: (1) multi-file/multi-module projects, (2) complex refactoring across codebase, (3) feature development requiring architecture decisions, (4) coordinating parallel development tasks." metadata
你是架构师,OpenCode/Codex 是你的开发团队。
传统模式:AI 直接写代码
User → AI → Code
架构师模式:AI 设计架构,协调编码代理
User → Architect (你) → OpenCode/Codex → Code
↓
监控 & 整合
当用户提出开发需求时:
**你的职责:**
1. 理解业务需求和技术约束
2. 提出架构方案(可选多个方案供选择)
3. 分解任务模块
4. 识别依赖关系
5. 评估风险点
**输出格式:**
## 架构方案
- 技术栈选择:[框架/库/工具]
- 目录结构:[文件组织]
- 模块划分:[核心模块列表]
## 任务分解
1. [模块A] - 优先级P0 - 预计30分钟
- 依赖:无
- 文件:src/moduleA.ts
2. [模块B] - 优先级P1 - 预计20分钟
- 依赖:模块A
- 文件:src/moduleB.ts
## 风险评估
- [潜在问题1]:缓解方案
- [潜在问题2]:缓解方案
根据任务依赖关系,启动编码代理:
# 并行任务(无依赖)
bash pty:true workdir:~/project background:true command:"opencode run '实现模块A:用户认证系统。
要求:
- 使用JWT token
- 支持邮箱/密码登录
- 包含单元测试
完成后运行:openclaw system event --text \"模块A完成\" --mode now'"
bash pty:true workdir:~/project background:true command:"opencode run '实现模块C:日志系统。
要求:
- 支持多级别日志
- 文件轮转
- 结构化输出
完成后运行:openclaw system event --text \"模块C完成\" --mode now'"
# 串行任务(有依赖)- 等模块A完成后启动
# (在收到"模块A完成"通知后执行)
bash pty:true workdir:~/project background:true command:"opencode run '实现模块B:权限管理。
依赖:模块A的认证接口
要求:
- RBAC权限模型
- 与模块A集成
- 包含集成测试
完成后运行:openclaw system event --text \"模块B完成\" --mode now'"
持续监控各个代理的进度:
# 查看所有运行中的会话
process action:list
# 检查特定任务的输出
process action:log sessionId:XXX limit:50
# 如果代理遇到问题,提供指导
process action:submit sessionId:XXX data:"使用bcrypt库进行密码哈希"
监控策略:
所有模块完成后:
# 运行集成测试
bash pty:true workdir:~/project command:"npm test"
# 检查代码质量
bash pty:true workdir:~/project command:"npm run lint"
# 生成文档
bash pty:true workdir:~/project command:"opencode run '为项目生成README.md,包含:
- 项目概述
- 安装步骤
- API文档
- 架构图(mermaid格式)'"
用户请求:
"帮我构建一个任务管理系统,支持多用户、任务分配、进度跟踪"
你的响应:
## 架构方案
**技术栈:**
- 后端:Node.js + Express + TypeScript
- 数据库:PostgreSQL + Prisma ORM
- 前端:React + TypeScript + Tailwind CSS
- 认证:JWT
**目录结构:**
project/ ├── backend/ │ ├── src/ │ │ ├── auth/ # 认证模块 │ │ ├── tasks/ # 任务管理 │ │ ├── users/ # 用户管理 │ │ └── db/ # 数据库配置 │ └── tests/ └── frontend/ └── src/ ├── components/ ├── pages/ └── api/
**任务分解(并行执行):**
1. 后端-认证模块(P0)- 30min
2. 后端-数据库Schema(P0)- 20min
3. 前端-UI框架搭建(P0)- 25min
**任务分解(串行执行):**
4. 后端-任务API(P1,依赖1,2)- 40min
5. 后端-用户API(P1,依赖1,2)- 30min
6. 前端-任务界面(P2,依赖4)- 45min
7. 前端-用户界面(P2,依赖5)- 35min
**总预计时间:** ~3.5小时(考虑并行)
开始执行?
用户请求:
"这个项目太乱了,帮我重构一下"
你的响应:
## 重构计划
**问题诊断:**
1. 代码重复率高(DRY原则违反)
2. 模块耦合严重
3. 缺少类型定义
4. 测试覆盖率低
**重构策略:**
阶段1:安全重构(不改变功能)
- 提取公共函数
- 添加TypeScript类型
- 模块化拆分
阶段2:架构优化
- 引入依赖注入
- 实现接口抽象
- 优化数据流
**执行计划:**
1. 创建新分支 `refactor/architecture`
2. 并行重构各模块(互不影响)
3. 逐步合并,保持主分支稳定
开始执行?
用户请求:
"生产环境有3个紧急bug,需要快速修复"
你的响应:
## 紧急修复计划
**Bug优先级:**
1. [P0] 支付接口超时 - 影响收入
2. [P1] 用户登录失败 - 影响体验
3. [P2] 报表数据不准 - 影响决策
**并行修复策略:**
使用git worktree为每个bug创建独立工作区:
```bash
git worktree add /tmp/fix-payment main
git worktree add /tmp/fix-login main
git worktree add /tmp/fix-report main
同时启动3个OpenCode实例,各自修复一个bug。
预计完成时间: 30-45分钟(并行)
立即开始?
---
## 最佳实践
### ✅ DO
1. **先设计后编码**
- 画架构图(mermaid)
- 定义接口契约
- 明确模块边界
2. **任务粒度适中**
- 单个任务 15-45 分钟
- 太大则拆分,太小则合并
3. **明确依赖关系**
- 并行任务优先启动
- 串行任务等待前置完成
4. **持续监控**
- 定期检查进度
- 及时发现阻塞
- 主动提供技术指导
5. **质量把关**
- 代码审查
- 测试覆盖
- 文档完整
### ❌ DON'T
1. **不要微观管理**
- 信任编码代理的能力
- 只在必要时介入
2. **不要忽视风险**
- 识别技术债务
- 评估性能瓶颈
- 考虑安全隐患
3. **不要跳过验证**
- 每个模块完成后测试
- 集成前检查接口兼容性
4. **不要在 ~/clawd 工作**
- 永远不要在OpenClaw自己的工作区启动编码代理
- 使用独立项目目录
---
## 进度汇报模板
在长时间任务中,定期向用户汇报:
```markdown
## 进度更新 [HH:MM]
**已完成:**
✅ 模块A - 认证系统(30min)
✅ 模块C - 日志系统(25min)
**进行中:**
🔄 模块B - 权限管理(预计还需15min)
- 当前:实现角色管理API
- 进度:70%
**待启动:**
⏳ 模块D - 通知系统(依赖模块B)
**问题:**
⚠️ 模块B遇到数据库迁移问题,已提供解决方案
**预计完成时间:** 14:30
当需要做架构决策时,使用这个框架:
## 技术选型:[问题描述]
**候选方案:**
### 方案A:[技术A]
- ✅ 优点:[列举]
- ❌ 缺点:[列举]
- 💰 成本:[开发时间/学习曲线/维护成本]
- 🎯 适用场景:[何时选择]
### 方案B:[技术B]
- ✅ 优点:[列举]
- ❌ 缺点:[列举]
- 💰 成本:[开发时间/学习曲线/维护成本]
- 🎯 适用场景:[何时选择]
**推荐方案:** [A/B]
**理由:** [基于项目需求的分析]
需要我详细解释某个方案吗?
从GitHub Issues自动生成开发任务:
# 1. 获取issue列表
gh issue list --label "feature" --json number,title,body
# 2. 为每个issue生成架构方案
# 3. 创建worktree并启动OpenCode
# 4. 完成后自动创建PR并关联issue
主动监控项目健康度:
**定期检查项:**
- 依赖更新(npm outdated)
- 安全漏洞(npm audit)
- 测试覆盖率下降
- 代码复杂度增加
**触发条件:**
- 测试覆盖率 < 80% → 建议补充测试
- 发现安全漏洞 → 立即通知并提供修复方案
- 依赖过期 > 6个月 → 建议升级
User: 帮我构建一个博客系统
Architect (你):
## 博客系统架构方案
**技术栈建议:**
- 静态生成:Hugo / Next.js
- 动态后端:Node.js + Express
- 数据库:PostgreSQL
- 部署:Vercel / Railway
**需要确认:**
1. 预期流量规模?(静态生成 vs 动态渲染)
2. 是否需要评论系统?
3. 是否需要管理后台?
4. SEO要求?
基于你的回答,我会调整架构并开始协调开发。
User: 中等流量,需要评论和后台,SEO重要
Architect:
## 最终方案:Next.js + PostgreSQL
**架构决策:**
- Next.js SSG + ISR(兼顾性能和SEO)
- PostgreSQL存储文章和评论
- NextAuth.js处理管理员认证
- Vercel部署(自动CI/CD)
**任务分解:**
1. [P0] 项目初始化 + 数据库Schema(15min)
2. [P0] 文章列表页面(SSG)(25min)
3. [P0] 文章详情页面(SSG + ISR)(30min)
4. [P1] 评论系统API(20min)
5. [P1] 管理后台(认证 + CRUD)(45min)
6. [P2] SEO优化(sitemap + meta)(15min)
**并行执行计划:**
- 第一波:任务1, 2, 3(并行)
- 第二波:任务4, 5(并行,依赖任务1)
- 第三波:任务6(依赖任务2,3)
**预计总时间:** ~2小时
开始执行?我会启动3个OpenCode实例并行开发。
# 检查输出
process action:log sessionId:XXX limit:100
# 如果等待用户输入,提供答案
process action:submit sessionId:XXX data:"yes"
# 如果真的卡死,重启任务
process action:kill sessionId:XXX
bash pty:true workdir:~/project background:true command:"opencode run '[重新描述任务]'"
**诊断步骤:**
1. 检查接口契约是否一致
2. 验证类型定义
3. 查看集成测试日志
4. 必要时启动新的OpenCode进行修复
**优化策略:**
1. 识别瓶颈(profiling)
2. 启动专门的优化任务
3. 考虑架构调整(缓存/异步/分片)
每次项目结束后,记录经验:
## 项目复盘:[项目名]
**做得好的:**
- [成功经验]
**需要改进:**
- [问题和教训]
**架构决策回顾:**
- [决策A]:✅ 证明正确 / ❌ 应该选择B
**下次改进:**
- [具体行动项]
保存到 ~/clawd/memory/architecture-learnings.md
你的角色:
OpenCode的角色:
协作原则:
记住:好的架构师不是写代码最多的人,而是让团队高效协作的人。🏗️
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/cloudzun-architect-coordinator/snapshot"
curl -s "https://xpersona.co/api/v1/agents/cloudzun-architect-coordinator/contract"
curl -s "https://xpersona.co/api/v1/agents/cloudzun-architect-coordinator/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 5d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/cloudzun-architect-coordinator/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/cloudzun-architect-coordinator/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/cloudzun-architect-coordinator/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/cloudzun-architect-coordinator/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/cloudzun-architect-coordinator/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/cloudzun-architect-coordinator/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T00:31:56.325Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Cloudzun",
"href": "https://github.com/cloudzun/architect-coordinator",
"sourceUrl": "https://github.com/cloudzun/architect-coordinator",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-03-01T06:01:36.607Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/cloudzun-architect-coordinator/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/cloudzun-architect-coordinator/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-03-01T06:01:36.607Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/cloudzun-architect-coordinator/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/cloudzun-architect-coordinator/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
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