# LangBot
**Repository Path**: RockChin/LangBot
## Basic Information
- **Project Name**: LangBot
- **Description**: [GitHub 14k๐] ็ฎๅๆ็จ็ๅคงๆจกๅๅณๆถ้ไฟกๆบๅจไบบๅผๅๅนณๅฐ โก๏ธ Bots for QQ / QQ้ข้ / Discord / LINE / WeChat(ๅพฎไฟก, ไผไธๅพฎไฟก)/ Telegram / ้ฃไนฆ / ้้ / Slack ๐งฉ Integrated with ChatGPT(GPT), DeepSeek, Dify, n8n, Langflow, Coze
- **Primary Language**: Python
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: https://docs.langbot.app
- **GVP Project**: No
## Statistics
- **Stars**: 626
- **Forks**: 162
- **Created**: 2022-12-08
- **Last Updated**: 2025-12-05
## Categories & Tags
**Categories**: im
**Tags**: chatGPT, qq, AI
## README
English / [็ฎไฝไธญๆ](README.md) / [็น้ซไธญๆ](README_TW.md) / [ๆฅๆฌ่ช](README_JP.md) / (PR for your language)
[](https://discord.gg/wdNEHETs87)
[](https://deepwiki.com/langbot-app/LangBot)
[](https://github.com/langbot-app/LangBot/releases/latest)
Home ๏ฝ
Deployment ๏ฝ
Plugin ๏ฝ
Submit Plugin
LangBot is an open-source LLM native instant messaging robot development platform, aiming to provide out-of-the-box IM robot development experience, with Agent, RAG, MCP and other LLM application functions, adapting to global instant messaging platforms, and providing rich API interfaces, supporting custom development.
## ๐ฆ Getting Started
#### Quick Start
Use `uvx` to start with one command (need to install [uv](https://docs.astral.sh/uv/getting-started/installation/)):
```bash
uvx langbot
```
Visit http://localhost:5300 to start using it.
#### Docker Compose Deployment
```bash
git clone https://github.com/langbot-app/LangBot
cd LangBot/docker
docker compose up -d
```
Visit http://localhost:5300 to start using it.
Detailed documentation [Docker Deployment](https://docs.langbot.app/en/deploy/langbot/docker.html).
#### One-click Deployment on BTPanel
LangBot has been listed on the BTPanel, if you have installed the BTPanel, you can use the [document](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) to use it.
#### Zeabur Cloud Deployment
Community contributed Zeabur template.
[](https://zeabur.com/en-US/templates/ZKTBDH)
#### Railway Cloud Deployment
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
#### Other Deployment Methods
Directly use the released version to run, see the [Manual Deployment](https://docs.langbot.app/en/deploy/langbot/manual.html) documentation.
#### Kubernetes Deployment
Refer to the [Kubernetes Deployment](./docker/README_K8S.md) documentation.
## ๐ Stay Ahead
Click the Star and Watch button in the upper right corner of the repository to get the latest updates.

## โจ Features
- ๐ฌ Chat with LLM / Agent: Supports multiple LLMs, adapt to group chats and private chats; Supports multi-round conversations, tool calls, multi-modal, and streaming output capabilities. Built-in RAG (knowledge base) implementation, and deeply integrates with [Dify](https://dify.ai).
- ๐ค Multi-platform Support: Currently supports QQ, QQ Channel, WeCom, personal WeChat, Lark, DingTalk, Discord, Telegram, etc.
- ๐ ๏ธ High Stability, Feature-rich: Native access control, rate limiting, sensitive word filtering, etc. mechanisms; Easy to use, supports multiple deployment methods. Supports multiple pipeline configurations, different bots can be used for different scenarios.
- ๐งฉ Plugin Extension, Active Community: Support event-driven, component extension, etc. plugin mechanisms; Integrate Anthropic [MCP protocol](https://modelcontextprotocol.io/); Currently has hundreds of plugins.
- ๐ป Web UI: Support management LangBot instance through the browser. No need to manually write configuration files.
For more detailed specifications, please refer to the [documentation](https://docs.langbot.app/en/insight/features.html).
Or visit the demo environment: https://demo.langbot.dev/
- Login information: Email: `demo@langbot.app` Password: `langbot123456`
- Note: For WebUI demo only, please do not fill in any sensitive information in the public environment.
### Message Platform
| Platform | Status | Remarks |
| --- | --- | --- |
| Discord | โ
| |
| Telegram | โ
| |
| Slack | โ
| |
| LINE | โ
| |
| Personal QQ | โ
| |
| QQ Official API | โ
| |
| WeCom | โ
| |
| WeComCS | โ
| |
| WeCom AI Bot | โ
| |
| Personal WeChat | โ
| |
| Lark | โ
| |
| DingTalk | โ
| |
### LLMs
| LLM | Status | Remarks |
| --- | --- | --- |
| [OpenAI](https://platform.openai.com/) | โ
| Available for any OpenAI interface format model |
| [DeepSeek](https://www.deepseek.com/) | โ
| |
| [Moonshot](https://www.moonshot.cn/) | โ
| |
| [Anthropic](https://www.anthropic.com/) | โ
| |
| [xAI](https://x.ai/) | โ
| |
| [Zhipu AI](https://open.bigmodel.cn/) | โ
| |
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | โ
| LLM and GPU resource platform |
| [Dify](https://dify.ai) | โ
| LLMOps platform |
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | โ
| LLM and GPU resource platform |
| [ๆฅๅฃ AI](https://jiekou.ai/) | โ
| LLM aggregation platform, dedicated to global LLMs |
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | โ
| LLM and GPU resource platform |
| [302.AI](https://share.302.ai/SuTG99) | โ
| LLM gateway(MaaS) |
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | โ
| |
| [Ollama](https://ollama.com/) | โ
| Local LLM running platform |
| [LMStudio](https://lmstudio.ai/) | โ
| Local LLM running platform |
| [GiteeAI](https://ai.gitee.com/) | โ
| LLM interface gateway(MaaS) |
| [SiliconFlow](https://siliconflow.cn/) | โ
| LLM gateway(MaaS) |
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | โ
| LLM gateway(MaaS), LLMOps platform |
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | โ
| LLM gateway(MaaS), LLMOps platform |
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | โ
| LLM gateway(MaaS) |
| [MCP](https://modelcontextprotocol.io/) | โ
| Support tool access through MCP protocol |
## ๐ค Community Contribution
Thank you for the following [code contributors](https://github.com/langbot-app/LangBot/graphs/contributors) and other members in the community for their contributions to LangBot: