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56 lines
2.9 KiB
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56 lines
2.9 KiB
Plaintext
---
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title: "Welcome to LangBot Documentation"
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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."
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---
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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 global messaging platforms including QQ, WeChat, WeCom, Lark, DingTalk, Discord, Telegram and Slack. 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.
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## What You Can Build
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- **AI customer service / enterprise assistant**: deploy a knowledge-base-backed AI agent to WeChat, WeCom, Lark or DingTalk to answer customer and employee questions automatically.
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- **Community operations**: provide AI-powered Q&A, content moderation and interaction in QQ, Discord and Telegram groups.
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- **Workflow integration**: plug your existing Dify / n8n / Coze workflows straight into chat platforms — no need to rewrite business logic.
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- **Multi-platform reach**: one bot covers every platform, managed centrally from a unified panel.
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## Documentation Structure
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The documentation is divided into the following sections:
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- Deployment and Usage (Must Read): Detailed steps for deploying and using LangBot
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- Plugins: Information related to plugin usage and development
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- Practice: Many excellent use cases for LangBot
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- Development: Information related to participating in LangBot development
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## Quick Start Guide
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<Tip>
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**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.
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</Tip>
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> Two ways to get started quickly:
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>
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> - Use the simplified tutorial from community resources (see left sidebar)
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> - Read the documentation to deploy it yourself (method described below)
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### 1. Deploy LangBot
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Read the **Deploy LangBot** section on the left and choose a method to deploy LangBot
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After deployment, open `http://127.0.0.1:5300` or `http://your-server-public-ip:5300`
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Complete the initialization by entering an email and password, and make sure to save them
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### 2. Configure Bots
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Check [Configure Bots](/en/usage/platforms/readme) in the left sidebar
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### 3. Configure Models
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Check [Configure Dialogue Models](/en/usage/models/readme) in the left sidebar
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<br />
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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
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