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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.

📦 Getting Started

Docker Compose Deployment

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.

One-click Deployment on BTPanel

LangBot has been listed on the BTPanel, if you have installed the BTPanel, you can use the document to use it.

Zeabur Cloud Deployment

Community contributed Zeabur template.

Railway Cloud Deployment

Other Deployment Methods

Directly use the released version to run, see the Manual Deployment documentation.

😎 Stay Ahead

Click the Star and Watch button in the upper right corner of the repository to get the latest updates.

✨ Features

• 💬 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.
• 🤖 Multi-platform Support: Currently supports QQ, QQ Channel, WeCom, personal WeChat, Lark, DingTalk, Discord, Telegram, etc.
• 🛠️ 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.
• 🧩 Plugin Extension, Active Community: Support event-driven, component extension, etc. plugin mechanisms; Integrate Anthropic MCP protocol; Currently has hundreds of plugins.
• 😻 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.

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	✅
Telegram	✅
Slack	✅
LINE	✅
Personal QQ	✅
QQ Official API	✅
WeCom	✅
WeComCS	✅
WeCom AI Bot	✅
Personal WeChat	✅
Lark	✅
DingTalk	✅

LLMs

LLM	Status	Remarks
OpenAI	✅	Available for any OpenAI interface format model
DeepSeek	✅
Moonshot	✅
Anthropic	✅
xAI	✅
Zhipu AI	✅
CompShare	✅	LLM and GPU resource platform
Dify	✅	LLMOps platform
PPIO	✅	LLM and GPU resource platform
ShengSuanYun	✅	LLM and GPU resource platform
302.AI	✅	LLM gateway(MaaS)
Google Gemini	✅
Ollama	✅	Local LLM running platform
LMStudio	✅	Local LLM running platform
GiteeAI	✅	LLM interface gateway(MaaS)
SiliconFlow	✅	LLM gateway(MaaS)
Aliyun Bailian	✅	LLM gateway(MaaS), LLMOps platform
Volc Engine Ark	✅	LLM gateway(MaaS), LLMOps platform
ModelScope	✅	LLM gateway(MaaS)
MCP	✅	Support tool access through MCP protocol

🤝 Community Contribution

Thank you for the following code contributors and other members in the community for their contributions to LangBot: