AI 工具AI TOOLS· BOTS
yincongcyincong/MuseBot
一个能接入微信、Telegram 等主流聊天工具的 AI 机器人，支持文字对话、生成图片和视频。A multi-platform chatbot that connects Telegram, Discord, Slack, and Chinese messaging apps like WeChat and Feishu to LLMs for conversations, images, and videos.
根据公开文档整理，未运行实测；费用以项目官网为准。Based on public documentation, without runtime testing. Check the project site for pricing.
能力CAPABILITIES
在8个聊天平台与AI对话
让AI生成图片
让AI生成视频
私聊和群聊都能用
Have natural conversations across multiple chat platforms
Generate images from text prompts in private chats or groups
Create short videos using supported language models
Switch conversation modes between text, photo, video, or voice
Clear, retry, or change models with simple slash commands
上手GET STARTED
git clone https://github.com/yincongcyincong/MuseBot.git选择与你的环境对应的方式。命令来自项目文档，未运行实测。Choose the option for your environment. Commands come from project documentation and have not been run-tested.
使用限制LIMITATIONS
以下要求与风险来自文档静态检查，未执行项目代码；扫描没有命中，不代表使用安全。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.
限制LIMITS
未知Unknown
项目动态PROJECT ACTIVITY
首次发现FIRST SEEN
11 OCT 202611 OCT 2026
状态STATUS
持续活跃Active
质量 AQuality A
项目活跃开发中，近一周有5次提交，社区关注度较高（1655星）。Supports popular LLMs like OpenAI, Gemini, DeepSeek, Doubao, and OpenRouter
静态扫描STATIC SCAN
在 README、SKILL.md 和依赖清单中没有匹配到已知风险模式。No known risk patterns matched in the README, SKILL.md or dependency list.
静态扫描未发现明显风险，但不代表安全The static scan found no obvious risk patterns in the documentation, but that does not prove the code is safe. Review the source before deploying.
{
"agents": [],
"apiKey": "riables** ```sh export TELEGRAM_BOT_TOKEN=\"your_telegram_bot_token\" export DE",
"docker": null,
"taxonomy": {
"scores": {
"design": 0,
"ai-tools": 7,
"dev-tools": 0,
"indie-web": 0,
"skill-agent": 1,
"productivity": 3
},
"primary": "ai-tools",
"secondary": "bots"
},
"localRuntime": "ce. - 🏗 **Easy Deployment**: Run locally or deploy to a cloud server. - 👀 **Ide",
"skillMdTotal": 0,
"skillMdErrors": [],
"treeTruncated": false,
"categoryScores": {
"data": 1,
"agent": 0,
"media": 5,
"design": 0,
"browser": 0,
"devtool": 0,
"security": 0,
"marketing": 0,
"productivity": 7
},
"classification": [],
"scannedSources": [
"readme"
],
"skillMdFetched": 0
}