LangBot

LangBot - Production-grade IM bot made easy. | Product Hunt 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 HomeDeploymentPluginSubmit 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. ## 📦 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) etc. LLMOps platforms. - 🤖 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: 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. 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 | ✅ | | ### 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: