---
title: "Welcome to LangBot Documentation"
description: "LangBot is an open-source LLM bot platform connecting Discord, Telegram, WeChat, Slack and more to GPT, Claude, Gemini, DeepSeek and Dify. Start here."
---

LangBot is an **open-source, production-grade**, LLM-native instant messaging bot platform. It connects large language models — OpenAI, Anthropic, Gemini, DeepSeek and more — and Agent platforms like Dify, Coze and n8n to mainstream messaging platforms including Discord, Telegram, Slack, QQ, WeChat, WeCom, Lark and DingTalk. With built-in Agent, RAG knowledge base, MCP, Skills and a code sandbox, plus an out-of-the-box web management panel, you can get your AI bot online in minutes — no hand-written config files required.

![LangBot web management dashboard: real-time monitoring of message volume, model calls, success rate, active sessions and traffic trends](/images/zh/insight/dashboard-overview.png)

## What You Can Build

- **AI customer service / enterprise assistant**: deploy a knowledge-base-backed AI agent to Slack, Discord, Lark, WeCom or DingTalk to answer customer and employee questions automatically.
- **Community operations**: provide AI-powered Q&A, content moderation and interaction in Discord, Telegram and QQ groups.
- **Workflow integration**: plug your existing Dify / n8n / Coze workflows straight into chat platforms — no need to rewrite business logic.
- **Multi-platform reach**: one bot covers every platform, managed centrally from a unified panel.

## Documentation Structure

The documentation is divided into the following sections:

- Deployment and Usage (Must Read): Detailed steps for deploying and using LangBot
- Plugins: Information related to plugin usage and development
- Practice: Many excellent use cases for LangBot
- Development: Information related to participating in LangBot development

## Quick Start Guide

<Tip>
**Don't want to self-host?** Try [LangBot Cloud](https://space.langbot.app/cloud) — get started instantly with zero infrastructure. Just sign up, pay, and go.
</Tip>

> Two ways to get started quickly:
>
> - Use the simplified tutorial from community resources (see left sidebar)
> - Read the documentation to deploy it yourself (method described below)

### 1. Deploy LangBot

Read the **Deploy LangBot** section on the left and choose a method to deploy LangBot

After deployment, open `http://127.0.0.1:5300` or `http://your-server-public-ip:5300`

Complete the initialization by entering an email and password, and make sure to save them

### 2. Configure Bots

Check [Configure Bots](/en/usage/platforms/readme) in the left sidebar

### 3. Configure Models

Check [Configure Dialogue Models](/en/usage/models/readme) in the left sidebar

<br />

After completing the above two steps, you can start using LangBot. If you need to configure more features, you can set them in the [Pipeline](/en/usage/pipelines/readme) section