Langbot
Production-grade platform for building agentic IM bots - 生产级多平台智能机器人开发平台. 提供 Agent、知识库编排、插件系统 / Bots for Discord / Slack / LINE / Telegram / WeChat(企业微信, 企微智能机器人, 公众号) / 飞书 / 钉钉 / QQ / Satori e.g. Integrated with ChatGPT(GPT), DeepSeek, Dify, n8n, Langflow, Coze, Claude, Gemini, MiniMax, Ollama, Sil
Last verified:
What is Langbot?
LangBot is an open-source, production-grade instant messaging AI bot platform that connects Large Language Models (LLMs) to any chat platform. It enables developers and businesses to build, debug, and deploy AI-powered bots to Discord, Telegram, Slack, LINE, WeChat, QQ, Lark (Feishu), DingTalk, KOOK, and more from a single codebase. LangBot is LLM-native, meaning it is specifically designed to work seamlessly with modern AI applications.
Key features include native integrations with AI application platforms like Dify, Coze, n8n, Langflow, and Alibaba Cloud Bailian. The platform provides a WebUI for quick deployment and management, built-in RAG engine for production-grade knowledge bases, model service with multi-provider load balancing and automatic fallback, end-to-end observability with log tracing and real-time monitoring, and a plugin system with 50+ plugins available in the marketplace covering定时任务, image generation, knowledge retrieval, and web search. It also includes ready-to-use tools like rate limiting, access control, context variables, MCP support, format correction, and session isolation.
LangBot is ideal for developers building AI chatbots, teams deploying production bots, enterprises needing customer service bots or internal knowledge assistants, and anyone wanting to connect AI applications (Dify agents, Coze bots, n8n workflows) to end users on popular messaging platforms. Over 35% of LangBot users use Dify as their AI backend, and the project has 15k+ GitHub stars with active community contribution from developers worldwide.
Langbot pricing
Pricing model: Freemium
LangBot core functionality is completely free and open-source under Apache 2.0 license. You can self-deploy without any feature restrictions using Docker or uvx. For those who don't want to self-host, LangBot Cloud offers a managed hosting service with monthly paid plans - just sign up and pay to get started instantly with zero infrastructure setup. Cloud pricing details require creating an account at space.langbot.app/cloud. The plugin marketplace has 50+ plugins available, most of which are free.
Langbot pros
- Open-source under Apache 2.0 license - completely free for self-hosted use
- Supports 10+ major messaging platforms including Discord, Slack, Telegram, WeChat, QQ, DingTalk, Lark, LINE, KOOK
- Native integration with Dify, Coze, n8n, Langflow, and Alibaba Cloud Bailian
- WebUI for quick deployment and management without coding
- One-codebase multi-platform deployment - deploy to all platforms from single setup
- Built-in RAG engine with production-grade knowledge base supporting multiple document formats
- 50+ plugins in marketplace covering scheduled tasks, image generation, web search, knowledge retrieval
- Plugin system with process isolation for security and Python SDK for custom development
- Multi-provider model load balancing with automatic fallback
- OpenAI-compatible format supporting OpenAI, Claude, DeepSeek, Gemini, Qwen, Ernie, Ollama
- End-to-end log tracing with auditable conversation records
- Real-time monitoring of bot status and performance metrics
- Built-in rate limiting, access control, context variables, session isolation
- MCP (Model Context Protocol) support for extended capabilities
- Docker one-command deployment with uvx or docker compose
- LangBot Cloud hosted option available for those who don't want self-hosting
- Active open-source community with global contributors and frequent updates
- Demo environment available at demo.langbot.dev for testing before deployment
Langbot cons
- Self-hosting requires infrastructure management and DevOps knowledge
- Personal WeChat support requires OpenClaw integration (not native)
- Some advanced features require plugin installation from marketplace
- Knowledge base only works with Local Agent runner, not other runners
- Learning curve for configuring pipelines, models, and bots initially
- Plugin development requires Python knowledge and understanding of SDK
- Cloud pricing details not publicly displayed - requires sign-up to see costs
- Platform adapters for some platforms require additional setup (like Lagrange, NapCat for QQ)
Frequently asked questions about Langbot
What is LangBot?
LangBot is an open-source AI bot platform that connects Dify, Coze, n8n and other AI applications to 10+ instant messaging platforms including WeChat, QQ, Feishu, DingTalk, Telegram, Discord, and Slack. It lets AI capabilities reach real user scenarios through production-ready bots.
Which messaging platforms does LangBot support?
LangBot currently supports WeChat (personal accounts & official accounts), WeCom (Enterprise WeChat), QQ, Feishu (Lark), DingTalk, Telegram, Discord, Slack, LINE, and KOOK - over 10 major instant messaging platforms. New platform adapters are continuously under development.
How do I deploy LangBot?
The simplest way is Docker one-command deployment using docker compose. You can also use uvx langbot for quick start, or use LangBot Cloud for online instance creation without server deployment. After deployment, access http://localhost:5300 or your server's public IP:5300, initialize with email and password, then configure bots and models. Detailed tutorials are available in the official documentation.
Can LangBot integrate with Dify?
Yes. LangBot deeply integrates with Dify, Coze, n8n and other platforms, supporting chat assistants, Agents, workflows and other application types. Over 35% of LangBot users are using Dify as their AI backend.
Is LangBot free?
LangBot core functionality is completely free and open-source (Apache 2.0 license). You can self-deploy without any feature restrictions. If you don't want to maintain your own infrastructure, you can use LangBot Cloud hosted service with monthly payment.
Which AI models does LangBot support?
LangBot supports OpenAI, Claude, DeepSeek, Gemini, Qwen (通义千问), Ernie (文心一言), Ollama and other mainstream large models. You can also connect to arbitrary models and workflows through Dify, Coze, n8n and other platforms.
How does the plugin system work?
LangBot provides a process-isolated plugin system supporting custom functionality development via Python SDK. The plugin marketplace has 50+ plugins available for one-click installation, covering scheduled tasks, image generation, knowledge base search, web search and other scenarios. Plugins balance security and flexibility for complex business needs.
Can enterprises use LangBot for production?
Yes. LangBot has been used by multiple enterprises for customer service bots, internal knowledge assistants, and automation workflows. It supports multi-instance deployment, permission management, and integration with enterprise IM platforms (WeCom, Feishu, DingTalk).
What is the difference between self-hosted LangBot and LangBot Cloud?
Self-hosted LangBot is free and open-source with full feature access but requires you to manage your own server infrastructure. LangBot Cloud is a managed hosting service where you can create instances instantly online without server setup - you just sign up and pay monthly, with no infrastructure management required.
Where can I get help if I have questions?
If you don't find what you need in the documentation at docs.langbot.app, you can contact LangBot support via email or join the community support through Discord. LangBot is an active open-source project built by developers worldwide, so you can also get help from the community.