NGCBot
一个基于✨HOOK机制的微信机器人,支持🌱安全新闻定时推送【FreeBuf,先知,安全客,奇安信攻防社区】,👯Kfc文案,⚡备案查询,⚡手机号归属地查询,⚡WHOIS信息查询,🎉星座查询,⚡天气查询,🌱摸鱼日历,⚡微步威胁情报查询, 🐛美女视频,⚡美女图片,👯帮助菜单。📫 支持积分功能,⚡支持自动拉人,⚡检测广告,🌱自动群发,👯Ai回复,😄自定义程度丰富,小白也可轻松上手!
Stars: 1964
NGCBot is a WeChat bot based on the HOOK mechanism, supporting scheduled push of security news from FreeBuf, Xianzhi, Anquanke, and Qianxin Attack and Defense Community, KFC copywriting, filing query, phone number attribution query, WHOIS information query, constellation query, weather query, fishing calendar, Weibei threat intelligence query, beautiful videos, beautiful pictures, and help menu. It supports point functions, automatic pulling of people, ad detection, automatic mass sending, Ai replies, rich customization, and easy for beginners to use. The project is open-source and periodically maintained, with additional features such as Ai (Gpt, Xinghuo, Qianfan), keyword invitation to groups, automatic mass sending, and group welcome messages.
README:
一个基于✨HOOK机制的微信机器人,支持🌱安全新闻定时推送【FreeBuf,先知,安全客,奇安信攻防社区】,👯Kfc文案,⚡备案查询,⚡手机号归属地查询,⚡WHOIS信息查询,🎉星座查询,⚡天气查询,🌱摸鱼日历,⚡微步威胁情报查询, 🐛美女视频,⚡美女图片,👯帮助菜单。📫 支持积分功能,⚡支持自动拉人,🌱自动群发,👯Ai回复,⚡Ai画图,😄自定义程度丰富,小白也可轻松上手!
本Bot是一款基于Hook机制的微信机器人,经过一年的更新迭代,目前功能更加面向大众,此项目会不定期维护,当然如果你有代码能力,也可以自己维护。目前支持功能(请看使用帮助),最新支持功能:Ai(Gpt,星火,千帆),关键词拉人进群,自动群发,入群欢迎。如果你有更好的想法,请进群交流。转载此项目请勿标记原创,否则后果自负!!使用此项目人员请勿做违法犯罪行为,否则后果自负!!
出现微信版本过低不能登陆如何解决?点击此处:https://mp.weixin.qq.com/s/g9AjM3A04sAylP-Q-17fAg
**💞特别感谢CKCSec安全研究院的赞助支持以及各大群友的支持, 你们的支持就是我的动力😎 **
│ main.py # 入口文件
│ README.md # Readme文件
│ requirements.txt # 环境依赖包
├─ApiServer # 接口服务文件夹
│ │ ApiMainServer.py # 所有接口主服务模块
│ ├─AiServer # Ai接口服务文件夹
│ │ │ AiDialogue.py # Ai接口调用主服务
│ │ │ sparkPicApi.py # 星火图像生成接口模块
│ ├─pluginServer # 插件接口服务文件夹
│ │ │ HappyApi.py # 娱乐功能接口模块
│ │ │ NewsApi.py # 新闻接口模块
│ │ │ PointApi.py # 积分接口模块
│ │ │ __init__.py # 功能接口初始化模块
├─BotServer # Bot服务文件夹
│ │ MainServer.py # Bot启动主服务模块
│ ├─BotFunction # Bot所有功能文件夹
│ │ │ AdminFunction.py # 管理员功能模块
│ │ │ AdministratorFunction.py # 超管功能模块
│ │ │ HappyFunction.py # 娱乐功能模块
│ │ │ InterfaceFunction.py # 消息处理接口
│ │ │ JudgeFuncion.py # 关键词判断模块
│ │ │ PointFunction.py # 积分功能模块
│ ├─MsgHandleServer # 消息处理文件夹
│ │ │ FriendMsgHandle.py # 好友消息处理模块
│ │ │ GhMsgHandle.py # 公众号消息处理模块
│ │ │ RoomMsgHandle.py # 群聊消息处理模块
├─Config # 配置文件服务文件夹
│ │ Config.yaml # 配置文件
│ │ ConfigServer.py # 配置文件服务模块
│ │ Gh.db # 公众号数据库
│ │ Point.db # 积分数据库
│ │ Room.db # 群聊数据库
│ │ User.db # 用户数据库
├─DbServer # 数据库服务文件夹
│ │ DbDomServer.py # 数据库操作模块
│ │ DbGhServer.py # 公众号数据库模块(暂未使用)
│ │ DbInitServer.py # 数据库初始化模块
│ │ DbMainServer.py # 数据库主服务模块
│ │ DbPointServer.py # 积分操作模块
│ │ DbRoomServer.py # 群聊数据库操作模块
│ │ DbSignServer.py # 签到服务模块
│ │ DbUserServer.py # 用户数据库操作模块
├─FileCache # 缓存文件服务文件夹
│ │ FileCacheServer.py # 文件服务模块
│ ├─aiPicCacheFolder # Ai生图缓存文件夹
│ ├─FishCacheFolder # 摸鱼日记缓存文件夹
│ ├─gaodeCacheFolder # 高德地图缓存文件夹
│ ├─picCacheFolder # 美女图片缓存文件夹
│ ├─videoCacheFolder # 美女视频缓存文件夹
├─logs # wcf日志文件夹
│ wcf.txt # wcf日志
├─NGCBot.assets # README静态资源文件
├─OutPut # 日志输出模块文件夹
│ │ outPut.py # 日志输出模块
├─PushServer # 定时推送服务文件夹
│ │ PushMainServer.py # 定时推送服务
└─README.assets # README静态资源文件
注意:此Bot只能在Windowns系统上运行!!!无法在Linux上运行安装
首先请克隆代码到本地,使用命令如下
git clone [email protected]:ngc660sec/NGCBot.git
也可以直接Download
下载我提供的微信版本,注意不能更新微信
使用pip
安装项目包
pip install -r .\requirements.txt
若安装缓慢,则自行换源
安装完毕后,启动main.py
文件
若出现此问题,请使用任务管理器关闭微信重启运行此文件
进入微信之后,会自动初始化必备文件
到此,恭喜🎉,项目启动成功!使用帮助请看使用帮助章节!
在运行成功后,你需要设置你的权限为超级管理员,当然你也可以设置多个超级管理员,拿到你的wxid
即可。
给机器人发一条消息
拿到此wxid
,放到配置文件当中即可
若添加多个超级管理员,请按格式添加!
【使用表情包功能请完成上述操作后执行以下命令】
meme download
第一次安装,请等待进度条走完,即可使用,如遇报错,请往下看娱乐功能介绍
- 添加管理员
- 删除管理员
- 关键词进群(配置文件中设置)
- 关键词回复(配置文件中设置)
- 加好友后自动回复(配置文件中设置)
- 进群欢迎(配置文件中设置)
- 自动转发公众号消息到推送群聊
- 自动同意好友(不需要配置)
- 查看白名单群聊
- 查看黑名单群聊
- 查看推送群聊
1、添加管理
添加管理@你要添加的人
或者添加多个管理
2、删除管理
删除管理@你要删除的人
3、关键词进群
需要先拿到roomid
,再在配置文件中设置即可
在你要拉进去的群里面发条消息
放到配置文件里面
可设置多个群聊,当某个群聊人数满了之后自动邀请下一个群聊。给机器人发送进群关键词即可触发
4、关键词回复
在配置文件中设置即可
关键词可设置多个,回复内容只限文本。只有好友可以触发
5、加好友后自动回复 添加好友后自动回复一条消息,在配置文件中设置
6、进群欢迎 当有人加入群聊后,自动回复一条消息,在配置文件中设置 只在推送群聊中有效
可单独设置卡片消息,上面的效果是单独设置的卡片消息
7、自动转发消息
首先你需要添加几个推送群聊,才能使用此功能。添加完推送群聊后,可以愉快使用,如下!
给机器人发送公众号消息
机器人会自动推送消息到推送群聊
注意:管理员功能超级管理员也能用!!管理员以及超级管理员使用积分功能不消耗积分!!
- 开启推送服务
- 开启白名单
- 添加黑名单
- 添加积分、删除积分
- 踢人
- 除超管之外的任何功能
这里不对开启或者关闭做任何介绍,使用方法也很简单,在群内发送你在配置文件里面设置的关键词即可,比如:
发送开启推送即可在此群开启推送服务,关键词可以设置多个,代表这两个关键词都可以触发这个功能
踢人功能使用也很简单,需要@罢了,可以@多个人
添加积分:需要@用户,可@多个用户,注意空格。使用如下【@群友1加空格[积分]】
其它功能不做介绍。介绍一下黑名单群聊,白名单群聊,普通群聊,推送群聊的功能划分
黑名单群聊:所有功能无法使用
白名单群聊:积分功能无限制
普通群聊:可正常使用积分功能,娱乐功能
推送群聊:定时推送安全新闻,等等其它推送服务(具体查看配置文件)
- 美女图片
- 美女视频
- KFC文案
- 舔狗日记
- 早报
- 晚报
- Help功能菜单
- 表情包功能
演示几个用法,基本都是这样用的,查询类功能注意空格
图片功能
如果发现不显示图片,此类问题一般是接口不稳定,或者网络不稳定,重新发送即可
视频
舔狗日记
表情包功能,参考示例使用
注意须知:表情包功能【随机表情】有一定几率发送失败,报错属于正常情况。
**只有 **wcferry==39.0.12.0
才可以使用表情包功能,其它版本无法使用
如果表情包过大,则会直接发送图片原图
- 签到(签到获得的积分可在配置文件中设置)
- Md5查询
- 微步IP查询
- 端口查询
- 积分查询
- Ai对话
- Ai画图
一样的,演示几个功能
积分查询
AI对话
Ai画图
更多功能请查看配置文件
兼容老版本微信,也就是用NGCBotV2.0 龙年贺岁版
此版本的兄弟,但是不要更新软件包
如果3.9.2.23版本的微信用不了怎么办?
选择更新软件包,或查看提示微信版本过低
的解决方法
pip install --upgrade wcferry
此版本目前(2024.07.15)存在一些问题
- 自动接收转账无法使用
有问题!看配置文件!看配置文件!看配置文件!有些人配置文件不配置,在这问为什么用不了?那我问问你你不拿碗不拿筷子怎么吃饭?
其它问题,若是Bug请提供给群主即可,配置文件空着的都要自行配置,这里并不提供!
若需要定制开发,请进群联系群主!!!!
关注微信公众号,后台留言,或者添加机器人回复Bot交流群
拉你进群!
公众号:
机器人微信:
请添加机器人好友回复 开发者
进开发者交流群
- 【2022.12.8】 推送Bot 1.0版本,为初始版本
- 【2022.12.17】推送Bot 1.2版本,新增部分接口,重写部分代码,新增积分功能
- 【2023.1.1】 推送Bot 1.3版本,重写部分代码,优化代码逻辑,优化积分功能,优化定时推送功能
- 【2023.3.6】 推送Bot 1.4版本,总体代码优化,优化定时推送,优化积分功能,新增消息转发,维护API服务调用
- 【2023.3.29】 推送Bot 1.4.1版本,增加多线程处理消息,重写AI接口。可能会出现消息串群,@错人的问题,等后续优化更新
- 【2023.3.31】 推送Bot 18诞辰版,修复1.4.1版本,消息乱串问题,支持AI上下文检索,优化消息处理代码,实现功能分区分块处理,由于挂了代理之后,当调用ai对话接口时,会出现ERROR报错,这种问题是正常的,能弄到国外服务器就别用国内的
- 【2023.5.4】 推送Bot v18.1诞辰版,修复AI上下文消息过多无法回复的问题,修复天气查询小BUG
- 【2023.9.10】 推送Bot v1.5版本,优化AI回复,积分功能,代码逻辑,新增MD5解密功能
- 【2024.01.2】 推送Bot V2.0龙年贺岁版,框架重写!逻辑重构!更快!更稳!更多功能!
- 【2024.07.15】推送Bot V2.1版本 框架再次重写,逻辑再次重构,更快!更稳!删减一些不必要功能,新增Ai画图功能
https://github.com/lich0821/WeChatFerry
感谢查克大佬提供的微信Python库!!!大家可以使用此框架进行开发!
感谢以下团队的大力支持
- NGC660安全实验室
- CKCSec安全研究院
- 渊龙Sec安全团队
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MegaDetector is an AI model that identifies animals, people, and vehicles in camera trap images (which also makes it useful for eliminating blank images). This model is trained on several million images from a variety of ecosystems. MegaDetector is just one of many tools that aims to make conservation biologists more efficient with AI. If you want to learn about other ways to use AI to accelerate camera trap workflows, check out our of the field, affectionately titled "Everything I know about machine learning and camera traps".
leapfrogai
LeapfrogAI is a self-hosted AI platform designed to be deployed in air-gapped resource-constrained environments. It brings sophisticated AI solutions to these environments by hosting all the necessary components of an AI stack, including vector databases, model backends, API, and UI. LeapfrogAI's API closely matches that of OpenAI, allowing tools built for OpenAI/ChatGPT to function seamlessly with a LeapfrogAI backend. It provides several backends for various use cases, including llama-cpp-python, whisper, text-embeddings, and vllm. LeapfrogAI leverages Chainguard's apko to harden base python images, ensuring the latest supported Python versions are used by the other components of the stack. The LeapfrogAI SDK provides a standard set of protobuffs and python utilities for implementing backends and gRPC. LeapfrogAI offers UI options for common use-cases like chat, summarization, and transcription. It can be deployed and run locally via UDS and Kubernetes, built out using Zarf packages. LeapfrogAI is supported by a community of users and contributors, including Defense Unicorns, Beast Code, Chainguard, Exovera, Hypergiant, Pulze, SOSi, United States Navy, United States Air Force, and United States Space Force.
llava-docker
This Docker image for LLaVA (Large Language and Vision Assistant) provides a convenient way to run LLaVA locally or on RunPod. LLaVA is a powerful AI tool that combines natural language processing and computer vision capabilities. With this Docker image, you can easily access LLaVA's functionalities for various tasks, including image captioning, visual question answering, text summarization, and more. The image comes pre-installed with LLaVA v1.2.0, Torch 2.1.2, xformers 0.0.23.post1, and other necessary dependencies. You can customize the model used by setting the MODEL environment variable. The image also includes a Jupyter Lab environment for interactive development and exploration. Overall, this Docker image offers a comprehensive and user-friendly platform for leveraging LLaVA's capabilities.
carrot
The 'carrot' repository on GitHub provides a list of free and user-friendly ChatGPT mirror sites for easy access. The repository includes sponsored sites offering various GPT models and services. Users can find and share sites, report errors, and access stable and recommended sites for ChatGPT usage. The repository also includes a detailed list of ChatGPT sites, their features, and accessibility options, making it a valuable resource for ChatGPT users seeking free and unlimited GPT services.
TrustLLM
TrustLLM is a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. The document explains how to use the trustllm python package to help you assess the performance of your LLM in trustworthiness more quickly. For more details about TrustLLM, please refer to project website.
AI-YinMei
AI-YinMei is an AI virtual anchor Vtuber development tool (N card version). It supports fastgpt knowledge base chat dialogue, a complete set of solutions for LLM large language models: [fastgpt] + [one-api] + [Xinference], supports docking bilibili live broadcast barrage reply and entering live broadcast welcome speech, supports Microsoft edge-tts speech synthesis, supports Bert-VITS2 speech synthesis, supports GPT-SoVITS speech synthesis, supports expression control Vtuber Studio, supports painting stable-diffusion-webui output OBS live broadcast room, supports painting picture pornography public-NSFW-y-distinguish, supports search and image search service duckduckgo (requires magic Internet access), supports image search service Baidu image search (no magic Internet access), supports AI reply chat box [html plug-in], supports AI singing Auto-Convert-Music, supports playlist [html plug-in], supports dancing function, supports expression video playback, supports head touching action, supports gift smashing action, supports singing automatic start dancing function, chat and singing automatic cycle swing action, supports multi scene switching, background music switching, day and night automatic switching scene, supports open singing and painting, let AI automatically judge the content.