Show HN: MuseBot–An AI Chatbot for Telegram, Discord, Slack, Lark, QQ, and More

telegram-group: https://t.me/+WtaMcDpaMOlhZTE1 , or you can have a try robot Guanwushan_bot. every body have 10000 token to try this bot, please give me a star!

QQ群：1031411708

This repository provides a Telegram, Disccord bot built with Golang that integrates with LLM API to provide AI-powered responses. The bot supports openai deepseek gemini openrouter LLMs, making interactions feel more natural and dynamic. 中文文档 Китайская документация

easy usage: https://www.youtube.com/watch?v=4UHoKRMfNZg
deepseek: https://www.youtube.com/watch?v=kPtNdLjKVn0
gemini: https://www.youtube.com/watch?v=7mV9RYvdE6I
chatgpt: https://www.youtube.com/watch?v=G_DZYMvd5Ug

• 🤖 AI Responses: Uses LLM API for chatbot replies.
• ⏳ Streaming Output: Sends responses in real-time to improve user experience.
• 🏗 Easy Deployment: Run locally or deploy to a cloud server.
• 👀 Identify Image: use image to communicate with LLM, see doc.
• 🎺 Support Voice: use voice to communicate with LLM, see doc.
• 🐂 Function Call: transform mcp protocol to function call, see doc.
• 🌊 RAG: Support Rag to fill context, see doc.
• 🌞 AdminPlatform: Use platform to manage MuseBot, see doc.
• 🌛 Register: With the service registration module, robot instances can be automatically registered to the registration center doc
• 🌈 Metrics: Support Metrics for monitoring, see doc.

Platform Supported Description Docs / Links

🟦 Telegram	✅	Supports Telegram bot (go-telegram-bot-api based, handles commands, inline buttons, ForceReply, etc.)	Docs
🌈 Discord	✅	Supports Discord bot	Docs
🌛 Web API	✅	Provides HTTP/Web API for interacting with LLM (great for custom frontends/backends)	Docs
🔷 Slack	✅	Supports Slack (Socket Mode / Events API / Block Kit interactions)	Docs
🟣 Lark (Feishu)	✅	Supports Lark long connection & message handling (based on larksuite SDK, with image/audio download & message update)	Docs
🆙 DingDing	✅	Supports Dingding long connection	Docs
⚡️ Work WeChat	✅	Support Work WeChat http callback to trigger LLM	Docs
🌞 QQ	✅	Support QQ http callback to trigger LLM	Docs
🚇 Wechat	✅	Support Wechat http callback to trigger LLM	Docs

Model Provider Text Generation Image Generation Video Generation Recognize Photo TTS Link

🌟 Gemini	Google	✅	✅	✅	✅	✅	doc
💬 ChatGPT	OpenAI	✅	✅	❌	✅	✅	doc
🐦 Doubao	ByteDance	✅	✅	✅	✅	✅	doc
🐦 Qwen	Aliyun	✅	✅	✅	✅	✅	doc
🧠 DeepSeek	DeepSeek	✅	❌	❌	❌	❌	doc
⚙️ 302.AI	302.AI	✅	✅	✅	✅	❌	doc
🌐 OpenRouter	OpenRouter	✅	✅	❌	✅	❌	doc

1. Clone the repository

   git clone https://github.com/yincongcyincong/MuseBot.git cd MuseBot

2. Install dependencies

3. Set up environment variables

   export TELEGRAM_BOT_TOKEN="your_telegram_bot_token" export DEEPSEEK_TOKEN="your_deepseek_api_key"

Run the bot locally:

Use docker

command: (doc)[https://github.com/yincongcyincong/MuseBot/blob/main/static/doc/param_conf.md]

You can configure the bot via environment variables:

Variable Name Description Default Value

TELEGRAM_BOT_TOKEN (required)	Your Telegram bot token	-
DEEPSEEK_TOKEN (required)	DeepSeek Api Key	-
OPENAI_TOKEN	Open AI Token	-
GEMINI_TOKEN	Gemini Token	-
OPEN_ROUTER_TOKEN	OpenRouter Token doc	-
ALIYUN_TOKEN	Aliyun Token doc	-
AI_302_TOKEN	302-AI token doc	-
VOL_TOKEN	Vol Token doc	-
CUSTOM_URL	custom deepseek url	https://api.deepseek.com/
TYPE	deepseek/openai/gemini/openrouter/vol/302-ai/ollama	deepseek
VOLC_AK	volcengine photo model ak doc	-
VOLC_SK	volcengine photo model sk doc	-
Ernie_AK	ernie ak doc	-
Ernie_SK	ernie sk doc	-
DB_TYPE	sqlite3 / mysql	sqlite3
DB_CONF	./data/telegram_bot.db / root:admin@tcp(127.0.0.1:3306)/dbname?charset=utf8mb4&parseTime=True&loc=Local	./data/telegram_bot.db
ALLOWED_USER_IDS	user id, only these users can use bot, using "," splite. empty means all use can use it. 0 means all user is banned	-
ALLOWED_GROUP_IDS	chat id, only these chat can use bot, using "," splite. empty means all group can use it. 0 means all group is banned	-
DEEPSEEK_PROXY	deepseek proxy	-
TELEGRAM_PROXY	telegram proxy	-
LANG	en / zh	en
TOKEN_PER_USER	The tokens that each user can use	10000
ADMIN_USER_IDS	admin user, can use some admin commands	-
NEED_AT_BOT	is it necessary to trigger an at robot in the group	false
MAX_USER_CHAT	max existing chat per user	2
VIDEO_TOKEN	volcengine Api keydoc	-
HTTP_PORT	http server port	36060
USE_TOOLS	if normal conversation use function call tools or not	false
CA_FILE	http server ca file	-
CRT_FILE	http server crt file	-
KEY_FILE	http server key file	-
MEDIA_TYPE	openai/gemini/vol/openrouter/aliyun/302-ai create photo or video	vol
MAX_QA_PAIR	how many question and answer pairs as context	15
CHARACTER	background character	-

If you are using a self-deployed DeepSeek, you can set CUSTOM_URL to route requests to your self-deployed DeepSeek.

deepseek: directly use deepseek service. but it's not very stable others: see doc

support sqlite3 or mysql

if DB_TYPE is sqlite3, give a file path, such as ./data/telegram_bot.db if DB_TYPE is mysql, give a mysql link, such as root:admin@tcp(127.0.0.1:3306)/dbname?charset=utf8mb4&parseTime=True&loc=Local, database must be created.

choose a language for bot, English (en), Chinese (zh), Russian (ru).

deepseek_conf
photo_conf
video_conf
audio_conf

clear all of your communication record with deepseek. this record use for helping deepseek to understand the context.

retry last question.

chose deepseek mode, include chat, coder, reasoner chat and coder means DeepSeek-V3, reasoner means DeepSeek-R1.

calculate one user token usage.

using volcengine photo model create photo, deepseek don't support to create photo now. VOLC_AK and VOLC_SK is necessary.doc

/edit_photo will update you photo base on your description.

create video. DEEPSEEK_TOKEN must be volcengine Api key. deepseek don't support to create video now. doc

allows the bot to chat through /chat command in groups, without the bot being set as admin of the group.

multi agent communicate with each other!

only for tencent app (wechat, qq, work wechat)
change photo base on your prompt.

only for tencent app (wechat, qq, work wechat)
recognize photo base on your prompt.

only for tencent app (wechat, qq, work wechat) save your voice to pc.

1. Build the Docker image

   docker build -t deepseek-telegram-bot .

2. Run the container

   docker run -d -v /home/user/xxx/data:/app/data -e TELEGRAM_BOT_TOKEN="telegram-bot-token" -e DEEPSEEK_TOKEN="deepseek-auth-token" --name my-telegram-bot MuseBot

Feel free to submit issues and pull requests to improve this bot. 🚀

MIT License © 2025 jack yin