Crawler Summary

agent_system answer-first brief

CrewAI + Claude Code dual-agent system for automated repo maintenance CrewAI + Claude Code 双 Agent 自动化运维系统 <div align="center"> $1 $1 $1 $1 *A dual-agent system where an LLM-powered Manager orchestrates tasks, and Claude Code executes them.* $1 </div> --- 简介 这是一个基于 **CrewAI** 框架的双 Agent 自动化运维系统。只需输入自然语言指令,系统即可自动完成代码修改、文件操作和 Git 提交。 - 🤖 **Manager Agent** — LLM 驱动,理解指令、拆解任务、制定计划 - ⚡ **Executor Agent** — 通过 Claude Code CLI 执行文件操作和 Git 提交 - 🛡️ **安全设计** — 原子化提交,每步操作独立存档 --- 系统架构 --- 文件结构 Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

agent_system is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Agent DossierGITHUB REPOSSafety: 66/100

agent_system

CrewAI + Claude Code dual-agent system for automated repo maintenance CrewAI + Claude Code 双 Agent 自动化运维系统 <div align="center"> $1 $1 $1 $1 *A dual-agent system where an LLM-powered Manager orchestrates tasks, and Claude Code executes them.* $1 </div> --- 简介 这是一个基于 **CrewAI** 框架的双 Agent 自动化运维系统。只需输入自然语言指令,系统即可自动完成代码修改、文件操作和 Git 提交。 - 🤖 **Manager Agent** — LLM 驱动,理解指令、拆解任务、制定计划 - ⚡ **Executor Agent** — 通过 Claude Code CLI 执行文件操作和 Git 提交 - 🛡️ **安全设计** — 原子化提交,每步操作独立存档 --- 系统架构 --- 文件结构

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals1 GitHub stars

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 10/9/2026.

1 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Wang Jiankai

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 10/9/2026.

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    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.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Wang Jiankai

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Adoption (1)

Adoption signal

1 GitHub stars

profilemedium
Observed Oct 9, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

text

┌─────────────────────────────────────────────────────────┐
│                    Manager (LLM)                        │
│                                                         │
│   "你是一个理性、数据驱动的系统架构师..."                     │
│                                                         │
│   职责:拆解指令 → 制定计划 → 审计结果                       │
└─────────────────────────┬───────────────────────────────┘
                          │ 任务指派
                          ▼
┌─────────────────────────────────────────────────────────┐
│                 Executor (Claude Code)                  │
│                                                         │
│   "你是一个可靠的代码执行者..."                             │
│                                                         │
│   职责:调用 CLI → 代码修改 → Git 提交                      │
└─────────────────────────────────────────────────────────┘

text

agent_system/
├── .env              # API 密钥配置(不提交 Git)
├── .gitignore        # Git 忽略配置
├── requirements.txt  # Python 依赖
├── tools.py          # Claude Code CLI 封装
├── main.py           # CrewAI 主程序
├── README.md         # 中文版
└── README_en.md      # English version

bash

cd agent_system
pip install -r requirements.txt

bash

# 创建 .env 文件
touch .env

env

LLM_API_KEY=your_api_key_here
LLM_BASE_URL=https://api.minimaxi.com/v1
LLM_MODEL=openai/MiniMax-M2.7
REPO_ROOT=/path/to/your/repo

bash

# 默认测试任务
python main.py

# 自定义任务
python main.py "检查 README,优化排版并添加维护声明"

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

CrewAI + Claude Code dual-agent system for automated repo maintenance CrewAI + Claude Code 双 Agent 自动化运维系统 <div align="center"> $1 $1 $1 $1 *A dual-agent system where an LLM-powered Manager orchestrates tasks, and Claude Code executes them.* $1 </div> --- 简介 这是一个基于 **CrewAI** 框架的双 Agent 自动化运维系统。只需输入自然语言指令,系统即可自动完成代码修改、文件操作和 Git 提交。 - 🤖 **Manager Agent** — LLM 驱动,理解指令、拆解任务、制定计划 - ⚡ **Executor Agent** — 通过 Claude Code CLI 执行文件操作和 Git 提交 - 🛡️ **安全设计** — 原子化提交,每步操作独立存档 --- 系统架构 --- 文件结构

Full README

CrewAI + Claude Code 双 Agent 自动化运维系统

<div align="center">

License: MIT Python CrewAI Claude Code

A dual-agent system where an LLM-powered Manager orchestrates tasks, and Claude Code executes them.

:arrow_right: English Version

</div>

简介

这是一个基于 CrewAI 框架的双 Agent 自动化运维系统。只需输入自然语言指令,系统即可自动完成代码修改、文件操作和 Git 提交。

  • 🤖 Manager Agent — LLM 驱动,理解指令、拆解任务、制定计划
  • ⚡ Executor Agent — 通过 Claude Code CLI 执行文件操作和 Git 提交
  • 🛡️ 安全设计 — 原子化提交,每步操作独立存档

系统架构

┌─────────────────────────────────────────────────────────┐
│                    Manager (LLM)                        │
│                                                         │
│   "你是一个理性、数据驱动的系统架构师..."                     │
│                                                         │
│   职责:拆解指令 → 制定计划 → 审计结果                       │
└─────────────────────────┬───────────────────────────────┘
                          │ 任务指派
                          ▼
┌─────────────────────────────────────────────────────────┐
│                 Executor (Claude Code)                  │
│                                                         │
│   "你是一个可靠的代码执行者..."                             │
│                                                         │
│   职责:调用 CLI → 代码修改 → Git 提交                      │
└─────────────────────────────────────────────────────────┘

文件结构

agent_system/
├── .env              # API 密钥配置(不提交 Git)
├── .gitignore        # Git 忽略配置
├── requirements.txt  # Python 依赖
├── tools.py          # Claude Code CLI 封装
├── main.py           # CrewAI 主程序
├── README.md         # 中文版
└── README_en.md      # English version

快速开始

1. 安装依赖

cd agent_system
pip install -r requirements.txt

2. 配置 API Key

# 创建 .env 文件
touch .env

编辑 .env,填入你的 LLM 配置:

LLM_API_KEY=your_api_key_here
LLM_BASE_URL=https://api.minimaxi.com/v1
LLM_MODEL=openai/MiniMax-M2.7
REPO_ROOT=/path/to/your/repo

支持的模型平台:OpenAI、SiliconFlow、Azure、AI Proxy 等所有 OpenAI 兼容接口。

3. 运行

# 默认测试任务
python main.py

# 自定义任务
python main.py "检查 README,优化排版并添加维护声明"

工作流程

用户输入指令
     │
     ▼
┌─────────────┐
│   Manager   │  ← 分析意图,拆解任务,生成执行计划
└──────┬──────┘
       │ 展示计划
       ▼
  [按 Enter 确认]     ← 非交互环境自动跳过
       │
       ▼
┌─────────────┐
│  Executor   │  ← 调用 Claude Code CLI 执行
└──────┬──────┘
       │ git commit
       ▼
   完成报告

安全约束

| 约束 | 说明 | |------|------| | ⚡ 原子提交 | 每个独立模块完成后立即 git commit | | 🔒 权限控制 | Claude CLI 使用 --dangerously-skip-permissions |


自定义任务示例

# 优化 README 排版
python main.py "检查并优化 README 排版"

# 代码审查
python main.py "审查 src/ 目录下的代码质量"

# 依赖更新
python main.py "检查并更新 requirements.txt 中的过期依赖"

技术栈

| 组件 | 用途 | |------|------| | CrewAI | 多 Agent 编排框架 | | Claude Code | 代码生成与审查 | | Python-dotenv | 环境变量管理 | | OpenAI 兼容 LLM | Manager Agent 的大脑 |

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-wang-jiankai-agent-system/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-wang-jiankai-agent-system/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-wang-jiankai-agent-system/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

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

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
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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!

MCPOPENCLAW
Github ReposUpdated 6mo agoRank 70

activepieces

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

OPENCLAW
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cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW
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CopilotKit

The Frontend for Agents & Generative UI. React + Angular

OPENCLAW
Machine Appendix

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://www.xpersona.co/api/v1/agents/crewai-wang-jiankai-agent-system/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-wang-jiankai-agent-system/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-wang-jiankai-agent-system/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-wang-jiankai-agent-system/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-wang-jiankai-agent-system/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-wang-jiankai-agent-system/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T00:54:49.121Z"
    }
  },
  "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"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Wang Jiankai",
    "href": "https://github.com/Wang-jiankai/agent_system",
    "sourceUrl": "https://github.com/Wang-jiankai/agent_system",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T23:22:35.547Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-wang-jiankai-agent-system/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-wang-jiankai-agent-system/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T23:22:35.547Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "href": "https://github.com/Wang-jiankai/agent_system",
    "sourceUrl": "https://github.com/Wang-jiankai/agent_system",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T23:22:35.547Z",
    "isPublic": true
  },
  {
    "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": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-wang-jiankai-agent-system/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-wang-jiankai-agent-system/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
  }
]

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