#1313th of 22 in Assistants
langbot
Platform for running LLM agents as bots on Slack, Discord, Telegram and WeChat
Documentation ↗
(opens in a new tab)Website ↗
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- Stars
- 18.1k
- License
- Apache-2.0
- Last commit
- Oct 2026
- Last release
- Sep 2026
- Language
- Python
Missed the latest GitHub check; these facts may be older.
Overview
LangBot runs AI bots on messaging platforms such as Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark and DingTalk from one codebase. It adds a web management panel, multiple pipelines, a built-in knowledge base, plugins and MCP support, and can hand conversations to Dify, n8n, Coze or Langflow. It starts with `uvx langbot` on port 5300 or through Docker.
Who it is for: Teams deploying LLM bots into chat platforms like Slack, Discord, WeChat
Strengths
- Covers about a dozen chat platforms, including QQ, WeCom, DingTalk and Lark, from one deployment
- Web panel for configuring and monitoring bots, so no YAML editing is needed
- Connects to Dify, n8n, Coze and Langflow, and to Ollama and LM Studio for local models
- Exposes an MCP endpoint at /mcp and a CLI (lbctl), so other agents can manage it
Weaknesses
- Many supported platforms and providers are China-focused, which may matter for Western teams
- Some integrations need an external service or account, such as Dify, n8n or Lark
- RAM and other resource requirements are not stated in the README
- Plugin market and cloud option are hosted services outside the self-hosted core
What it needs
- no GPU
- Docker
- Needs uv or Docker, LLM provider API, or local Ollama or LM Studio
- Models: OpenAI, Anthropic, DeepSeek, Google Gemini, xAI
- port 5300
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| 2 | nanobotSelf-hosted Python personal agent with WebUI, TUI and chat-app channels | 84 out of 100 |
| 3 | openhumanRust agent harness with desktop app, built-in memory and embeddable library | 84 out of 100 |
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| #5 | ZeroClawSingle Rust binary agent runtime with 30+ channels and hardware access | 77 out of 100 |