# langbot-app/LangBot

Production-grade platform for building agentic IM bots - 生产级多平台智能机器人开发平台/ 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 / Matrix e.g. Integrated with ChatGPT(GPT), DeepSeek, Dify, n8n, Langflow, Coze, Claude, Gemini, GLM, Ollama, SiliconFlow, Moonshot, openclaw / hermes agent, deerflow

Repository: https://github.com/langbot-app/LangBot
Canonical: https://ross.abutalabs.com/products/langbot
Homepage: https://langbot.app
Language: Python
License: Apache-2.0
License Family: permissive
Topics: qq, openai, agent, llm, wechat, telegram, dify, discord, deepseek, dingtalk, feishu, lark, ollama, langbot, n8n, plugins, rag, line, coze, kook
Last push: 2026-08-26T15:14:45+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 86, longevity 97
- inputs: {"age_days": 1365, "days_push": 7, "days_rel": 13, "gap_med": 3, "n_releases_24m": 118}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 17558, forks 1570 (observed 2026-08-28T04:11:19.993495+00:00)

## What it is
LangBot is an open-source, production-grade platform for building AI-powered instant messaging bots, connecting LLMs and agent workflows to chat platforms like Discord, Telegram, Slack, WeChat, QQ, LINE, Lark, and DingTalk. It includes a web dashboard, built-in RAG knowledge base, plugin/MCP extension system, and integrations with Dify, Coze, n8n, Langflow, and OpenAI-compatible model providers.

## Use cases
- deploy an LLM chatbot on WeChat and QQ
- connect a Dify or Coze agent to Telegram and Discord
- build a customer-support bot with a knowledge base (RAG)
- run one bot codebase across multiple IM platforms
- self-host an AI assistant bot with Ollama or DeepSeek
- add rate limiting and access control to an IM bot
- extend a chatbot with plugins and MCP tools

## When to choose
- you need a production-ready bot across many IM platforms from one codebase
- you want built-in RAG, observability, and a plugin ecosystem
- you want native integration with Dify, Coze, n8n, or Langflow

## When to avoid
- you only need a single-platform bot with minimal overhead
- you need a general-purpose agent framework without IM delivery
- you require a non-Python runtime stack

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, chatbot, rag, llm-inference, web-framework, plugin-system, mcp, rate-limiting, monitoring
- domain: chatbots, large-language-models, messaging-platforms, self-hosted, developer-tools
- platform: python, self-hosted, cross-platform
- tags: im-bots, multi-platform, dify, coze, n8n, wechat, qq, telegram, discord, slack, knowledge-base, llm-gateway, ai-agents, retrieval-augmented-generation, docker, web-server

## Member repositories
- langbot-app/LangBot (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:19.993495+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:02:53.685003+00:00, confidence not recorded.
  - readme: https://github.com/langbot-app/LangBot (fetched 2026-08-28T04:11:19.993495+00:00, sha 24390459016d)
  - homepage: https://langbot.app (fetched 2026-08-29T08:00:57.831844+00:00, sha 507771a9888f)
  - registry_pypi: https://pypi.org/pypi/langbot/json (fetched 2026-08-29T08:00:57.836790+00:00, sha b6e74e8b7faf)
  - site_page: https://langbot.app/zh/pricing (fetched 2026-08-29T08:00:57.834750+00:00, sha 0dfcfec12f56)
- Data as of 2026-08-30T08:39:29.467469+00:00.
