Crawler Summary

AI-Novel-Workshop answer-first brief

一个基于多智能体协作的AI小说创作平台,通过CrewAI框架协调多个AI智能体,帮助作者高效创作逻辑严谨、风格统一的长篇小说。 🤖 AI Novel Assistant - 智能小说创作助手 一个基于多智能体协作的AI小说创作平台,通过CrewAI框架协调多个AI智能体,帮助作者高效创作逻辑严谨、风格统一的长篇小说。 🌟 核心功能 ✍️ 智能章节生成 - **多智能体协作**:导演、作家、润色师、检查员四个AI智能体协同工作 - **上下文感知**:自动检索历史剧情和角色设定,确保故事连贯性 - **逻辑一致性检查**:每章生成后自动检查与世界观的一致性 - **风格模仿**:支持上传参考文本,AI将模仿其写作风格 🌍 世界观管理 - **可视化设定**:直观的界面管理题材、科技水平、世界规则 - **角色档案**:详细记录每个角色的性格、动机、状态变化 - **时间线追踪**:自动维护故事发展时间线,方便回顾剧情 - **向量记忆库**:基于ChromaDB的剧情百科,支持语义搜索 📚 参考资料集成 - **多格式支持**:支持文本粘贴和PDF Capability contract not published. No trust telemetry is available yet. 5 GitHub stars reported by the source. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

AI-Novel-Workshop 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

AI-Novel-Workshop

一个基于多智能体协作的AI小说创作平台,通过CrewAI框架协调多个AI智能体,帮助作者高效创作逻辑严谨、风格统一的长篇小说。 🤖 AI Novel Assistant - 智能小说创作助手 一个基于多智能体协作的AI小说创作平台,通过CrewAI框架协调多个AI智能体,帮助作者高效创作逻辑严谨、风格统一的长篇小说。 🌟 核心功能 ✍️ 智能章节生成 - **多智能体协作**:导演、作家、润色师、检查员四个AI智能体协同工作 - **上下文感知**:自动检索历史剧情和角色设定,确保故事连贯性 - **逻辑一致性检查**:每章生成后自动检查与世界观的一致性 - **风格模仿**:支持上传参考文本,AI将模仿其写作风格 🌍 世界观管理 - **可视化设定**:直观的界面管理题材、科技水平、世界规则 - **角色档案**:详细记录每个角色的性格、动机、状态变化 - **时间线追踪**:自动维护故事发展时间线,方便回顾剧情 - **向量记忆库**:基于ChromaDB的剧情百科,支持语义搜索 📚 参考资料集成 - **多格式支持**:支持文本粘贴和PDF

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals5 GitHub stars

Capability contract not published. No trust telemetry is available yet. 5 GitHub stars reported by the source. Last updated 10/9/2026.

5 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Aaron L945

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Unpublished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. 5 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

Aaron L945

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

Protocol compatibility

OpenClaw

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

Adoption signal

5 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

bash

export QWEN_API_KEY=""
   export QWEN_MODEL=qwen-long # long is a think model
   export QWEN_MODEL_2=qwen-flash # flash is a quick model
   export LLM_TYPE=qwen

bash

export OPENAI_API_BASE=""
   export OPENAI_MODEL_NAME=""
   export OPENAI_API_KEY=""
   export LLM_TYPE=openai

bash

docker-compose up -d

bash

git clone <项目地址>
cd AI-Novel-Workshop

bash

# 复制环境变量示例文件
cp .venv.example .env
# 编辑 .env 填入你的 API 密钥

# 创建虚拟环境(如果使用软链接共享已有虚拟环境,可跳过此步)
python -m venv .venv
source .venv/bin/activate  # Linux/Mac
# 或 .venv\Scripts\activate  # Windows

# 设置 Python 路径(确保模块导入正常)
export PYTHONPATH="$(pwd)"

bash

pip install -r requirements.txt

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

一个基于多智能体协作的AI小说创作平台,通过CrewAI框架协调多个AI智能体,帮助作者高效创作逻辑严谨、风格统一的长篇小说。 🤖 AI Novel Assistant - 智能小说创作助手 一个基于多智能体协作的AI小说创作平台,通过CrewAI框架协调多个AI智能体,帮助作者高效创作逻辑严谨、风格统一的长篇小说。 🌟 核心功能 ✍️ 智能章节生成 - **多智能体协作**:导演、作家、润色师、检查员四个AI智能体协同工作 - **上下文感知**:自动检索历史剧情和角色设定,确保故事连贯性 - **逻辑一致性检查**:每章生成后自动检查与世界观的一致性 - **风格模仿**:支持上传参考文本,AI将模仿其写作风格 🌍 世界观管理 - **可视化设定**:直观的界面管理题材、科技水平、世界规则 - **角色档案**:详细记录每个角色的性格、动机、状态变化 - **时间线追踪**:自动维护故事发展时间线,方便回顾剧情 - **向量记忆库**:基于ChromaDB的剧情百科,支持语义搜索 📚 参考资料集成 - **多格式支持**:支持文本粘贴和PDF

Full README

🤖 AI Novel Assistant - 智能小说创作助手

一个基于多智能体协作的AI小说创作平台,通过CrewAI框架协调多个AI智能体,帮助作者高效创作逻辑严谨、风格统一的长篇小说。

🌟 核心功能

✍️ 智能章节生成

  • 多智能体协作:导演、作家、润色师、检查员四个AI智能体协同工作
  • 上下文感知:自动检索历史剧情和角色设定,确保故事连贯性
  • 逻辑一致性检查:每章生成后自动检查与世界观的一致性
  • 风格模仿:支持上传参考文本,AI将模仿其写作风格

🌍 世界观管理

  • 可视化设定:直观的界面管理题材、科技水平、世界规则
  • 角色档案:详细记录每个角色的性格、动机、状态变化
  • 时间线追踪:自动维护故事发展时间线,方便回顾剧情
  • 向量记忆库:基于ChromaDB的剧情百科,支持语义搜索

📚 参考资料集成

  • 多格式支持:支持文本粘贴和PDF文件上传
  • 风格分析:自动分析参考文本的写作特征
  • 临时参考:为单次创作提供临时背景资料
  • 智能检索:快速查找历史伏笔和设定细节

🚀 快速开始

方式一:Docker 一键部署(推荐)

  1. 配置环境变量 在项目根目录下创建 .env 文件,并根据您选择的 LLM 类型进行配置:

    使用阿里云通义千问 (Qwen)

    export QWEN_API_KEY=""
    export QWEN_MODEL=qwen-long # long is a think model
    export QWEN_MODEL_2=qwen-flash # flash is a quick model
    export LLM_TYPE=qwen
    

    使用 OpenAI API

    export OPENAI_API_BASE=""
    export OPENAI_MODEL_NAME=""
    export OPENAI_API_KEY=""
    export LLM_TYPE=openai
    
  2. 启动服务

    docker-compose up -d
    
  3. 访问应用 浏览器访问:http://localhost:8501

方式二:本地源码部署

环境要求

  • Python 3.8+
  • 8GB+ 内存(建议16GB)
  • 10GB+ 可用磁盘空间

安装步骤

  1. 克隆项目
git clone <项目地址>
cd AI-Novel-Workshop
  1. 创建虚拟环境并配置环境变量
# 复制环境变量示例文件
cp .venv.example .env
# 编辑 .env 填入你的 API 密钥

# 创建虚拟环境(如果使用软链接共享已有虚拟环境,可跳过此步)
python -m venv .venv
source .venv/bin/activate  # Linux/Mac
# 或 .venv\Scripts\activate  # Windows

# 设置 Python 路径(确保模块导入正常)
export PYTHONPATH="$(pwd)"
  1. 安装依赖
pip install -r requirements.txt
  1. 配置API密钥和环境变量 编辑 .env 文件,根据您选择的 LLM 类型添加您的API密钥:

使用阿里云通义千问(推荐)

export QWEN_API_KEY=your_qwen_api_key_here
export LLM_TYPE=qwen

使用 OpenAI API

export OPENAI_API_KEY=your_openai_api_key_here
export LLM_TYPE=openai

嵌入模型配置(可选,使用本地缓存)

export EMBEDDING_MODEL_PATH=/home/aaron/.cache/modelscope/hub/models/BAAI/bge-m3
  1. 启动应用
.venv/bin/python -m streamlit run app.py
  1. 访问应用 打开浏览器访问:http://localhost:8501

页面预览

左边栏

<img width="411" height="897" alt="image" src="https://github.com/user-attachments/assets/dda1537c-e389-4f97-b70a-07598267c51c" /> <img width="429" height="900" alt="eefbdbd74d960ab13e52f6142d78c40d" src="https://github.com/user-attachments/assets/7018b921-9fe4-4ef9-935f-14a39737713b" />

中部区域

<img width="966" height="579" alt="9a3d3df656a948b449e18b12158b8568" src="https://github.com/user-attachments/assets/b8d2b272-23a0-47d4-bcae-9a3ab04ef0f6" /> <img width="987" height="327" alt="8dd210027cc762dcf0ab15b656bcd8c6" src="https://github.com/user-attachments/assets/ac72b0bc-90a4-4355-aa1a-d07375c6938f" /> <img width="573" height="764" alt="image" src="https://github.com/user-attachments/assets/4e24c81f-35c9-4c69-bc21-de7cd26f6eb8" />

右边栏

<img width="372" height="567" alt="067c30bf59bc6675fe280864117be165" src="https://github.com/user-attachments/assets/f6989d07-68da-4729-a5e5-78ec81f27c6a" />

📖 使用指南

第一步:设定世界观

  1. 在右侧"世界观设定"面板中:
    • 选择题材(仙侠、科幻、玄幻等)
    • 设定科技/修真水平
    • 添加世界运行规则

第二步:创建角色

  1. 在"角色管理器"中添加主要角色:
    • 设定姓名、性别、性格特征
    • 定义价值观和内心恐惧
    • 设置初始位置和状态

第三步:开始创作

  1. 点击"开始创作下一章"按钮
  2. 等待AI智能体协作完成(约1-3分钟)
  3. 预览生成的章节内容
  4. 查看逻辑一致性检查报告
  5. 确认无误后点击"同步到时间线"

进阶功能 (左边栏)

  • 风格模仿:上传参考文本,AI将学习其写作风格
  • 剧情检索:使用"剧情百科检索"查找历史细节
  • 重写功能:如发现逻辑问题,可自动重写章节
  • 参考资料:为特定章节添加临时背景资料

🛠️ 技术架构

核心组件

  • CrewAI: 多智能体编排框架
  • Streamlit: 用户界面框架
  • ChromaDB: 向量数据库用于记忆存储
  • Qwen/OpenAI: 大语言模型提供推理能力
  • Sentence Transformers: 文本嵌入模型 (使用 nomic-ai/nomic-embed-text-v1.5)

智能体分工

  • 导演(Director): 制定章节大纲,规划剧情发展
  • 作家(Writer): 根据大纲撰写初稿,可模仿指定风格
  • 润色师(Polisher): 深度润色,去除AI痕迹,增强文学性
  • 检查员(Checker): 检查逻辑一致性,确保世界观统一
  • 管理员(Curator): 提取关键信息,更新记忆库

💡 使用技巧

获得更好效果

  1. 详细的世界观设定:越详细的世界规则,AI越容易保持一致性
  2. 丰富的角色档案:完整的角色设定让AI创作更生动
  3. 合理的章节长度:建议每章1000-2000字,过长可能影响质量
  4. 及时检查反馈:每次生成后检查逻辑报告,及时修正问题

风格模仿

  • 上传与目标风格相似的文本片段(1000字以上效果最佳)
  • 可以上传多个不同风格的文本,AI会综合学习
  • 风格档案会在后续章节中持续应用,直到重新分析

记忆管理

  • 向量记忆库会自动积累剧情信息
  • 使用"剧情百科检索"快速查找历史细节
  • 定期检查和清理不需要的记忆条目

🔧 常见问题

Q: 生成速度很慢怎么办?

A: 这是正常现象,因为需要多个AI智能体协作。可以尝试:

  • 使用更快的模型(如qwen-flash)
  • 减少参考资料的长度
  • 在.env中切换到更快的API端点

Q: 生成的内容不符合预期?

A: 建议:

  • 检查世界观设定是否完整
  • 确认角色设定是否详细
  • 尝试添加更多参考资料
  • 使用风格分析功能指定写作风格

Q: 如何保存创作进度?

A: 系统会自动保存:

  • 世界观设定到canon_storage.json
  • 章节内容到story_archive/目录
  • 记忆向量到novel_memory/目录

📄 项目结构

AI-Novel-Workshop/
├── app.py                  # 主程序入口
├── engine.py               # 核心引擎
├── style_analyzer.py       # 风格分析
├── requirements.txt        # 依赖列表
├── .env                    # 环境配置
├── config/
│   └── llm.py             # 模型配置
├── crew/                   # 智能体定义
│   ├── agents.py          # 智能体角色
│   ├── tasks.py           # 任务定义
│   └── crew.py            # 智能体编排
├── workflow/               # 工作流
│   └── chapter_flow.py    # 章节生成流程
├── memory/                 # 记忆系统
│   ├── canon.py           # 世界观记忆
│   ├── creative.py        # 创作记忆
│   └── schema/            # 数据结构定义
├── story_archive/          # 章节存档
├── novel_memory/           # 向量记忆库
└── models/                 # 本地模型

🤝 贡献指南

欢迎提交Issue和Pull Request来改进这个项目!

📄 许可证

本项目采用MIT许可证 - 详见 LICENSE 文件

🙏 致谢

  • CrewAI团队提供的优秀多智能体框架
  • 通义千问团队提供的强大语言模型
  • Streamlit团队提供的简洁UI框架

联系作者:


Happy Writing! 🎉 让AI成为你创作路上的得力助手!

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-aaron-l945-ai-novel-workshop/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-aaron-l945-ai-novel-workshop/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-aaron-l945-ai-novel-workshop/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.

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

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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-aaron-l945-ai-novel-workshop/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-aaron-l945-ai-novel-workshop/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-aaron-l945-ai-novel-workshop/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-aaron-l945-ai-novel-workshop/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-aaron-l945-ai-novel-workshop/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-aaron-l945-ai-novel-workshop/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T02:02:28.141Z"
    }
  },
  "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": "Aaron L945",
    "href": "https://github.com/Aaron-L945/AI-Novel-Workshop",
    "sourceUrl": "https://github.com/Aaron-L945/AI-Novel-Workshop",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T21:09:26.632Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-aaron-l945-ai-novel-workshop/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-aaron-l945-ai-novel-workshop/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T21:09:26.632Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "5 GitHub stars",
    "href": "https://github.com/Aaron-L945/AI-Novel-Workshop",
    "sourceUrl": "https://github.com/Aaron-L945/AI-Novel-Workshop",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T21:09:26.632Z",
    "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-aaron-l945-ai-novel-workshop/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-aaron-l945-ai-novel-workshop/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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