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- -LangBot - - -

- -LangBot - Production-grade IM bot made easy. | Product Hunt - -

Quickly build, debug, and ship IM bots with LangBot.

- -English / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md) - -[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87) -[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot) -[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest) -python - -Home ｜ -Features ｜ -Deployment ｜ -API Integration ｜ -Plugin Market ｜ -Roadmap - -
- -

- - -## 📦 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. - -[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH) - -#### Railway Cloud Deployment - -[![Deploy on Railway](https://railway.com/button.svg)](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. - -## 😎 Stay Ahead - -Click the Star and Watch button in the upper right corner of the repository to get the latest updates. - -![star gif](https://docs.langbot.app/star.gif) - -## ✨ 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](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org) etc. LLMOps platforms. -- 🤖 Multi-platform Support: Currently supports QQ, QQ Channel, WeCom, personal WeChat, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE, etc. -- 🛠️ High Stability, Feature-rich: Native access control, rate limiting, sensitive word filtering, etc. mechanisms; Easy to use, supports multiple deployment methods. -- 🧩 Plugin Extension, Active Community: High stability, high security production-level plugin system; Support event-driven, component extension, etc. plugin mechanisms; Integrate Anthropic [MCP protocol](https://modelcontextprotocol.io/); Currently has hundreds of plugins. -- 😻 Web UI: Support management LangBot instance through the browser. No need to manually write configuration files. -- 📊 Production-grade Features: Supports multiple pipeline configurations, different bots can be used for different scenarios. Has comprehensive monitoring and exception handling capabilities. - -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 | ✅ | | -| Telegram | ✅ | | -| Slack | ✅ | | -| LINE | ✅ | | -| Personal QQ | ✅ | | -| QQ Official API | ✅ | | -| WeCom | ✅ | | -| WeComCS | ✅ | | -| WeCom AI Bot | ✅ | | -| Personal WeChat | ✅ | | -| Lark | ✅ | | -| DingTalk | ✅ | | -| KOOK | ✅ | | -| Satori | ✅ | | - -### LLMs - -| LLM | Status | Remarks | -| --- | --- | --- | -| [OpenAI](https://platform.openai.com/) | ✅ | Available for any OpenAI interface format model | -| [DeepSeek](https://www.deepseek.com/) | ✅ | | -| [Moonshot](https://www.moonshot.cn/) | ✅ | | -| [Anthropic](https://www.anthropic.com/) | ✅ | | -| [xAI](https://x.ai/) | ✅ | | -| [Zhipu AI](https://open.bigmodel.cn/) | ✅ | | -| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | LLM and GPU resource platform | -| [Dify](https://dify.ai) | ✅ | LLMOps platform | -| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | LLM and GPU resource platform | -| [接口 AI](https://jiekou.ai/) | ✅ | LLM aggregation platform, dedicated to global LLMs | -| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | LLM and GPU resource platform | -| [302.AI](https://share.302.ai/SuTG99) | ✅ | LLM gateway(MaaS) | -| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | | -| [Ollama](https://ollama.com/) | ✅ | Local LLM running platform | -| [LMStudio](https://lmstudio.ai/) | ✅ | Local LLM running platform | -| [GiteeAI](https://ai.gitee.com/) | ✅ | LLM interface gateway(MaaS) | -| [SiliconFlow](https://siliconflow.cn/) | ✅ | LLM gateway(MaaS) | -| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLM gateway(MaaS), LLMOps platform | -| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | LLM gateway(MaaS), LLMOps platform | -| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | LLM gateway(MaaS) | -| [MCP](https://modelcontextprotocol.io/) | ✅ | Support tool access through MCP protocol | - -## 🤝 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: - - - -