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* feat(plugin): upload debug plugin to LangBot Space with optional GitHub sync - SDK: reusable in-memory .lbpkg packaging + git sync helper (local git by default, optional repo/token override) - routing: space-upload config/upload/git-sync endpoints; debug plugins resolved via OSS bridge without touching get_plugin_info - frontend: debug-card entry + upload dialog with multi-language metadata, icon upload and changelog - i18n across 8 locales; operation-trace + action allowlist entries * fix(plugin-space-upload): stable dialog width, single-line locale tabs, broader error surfacing - fixed dialog width so toggling the GitHub section no longer resizes it - language tabs render on one line (horizontal scroll when needed) - surface the real upload/git error message (msg field) instead of [object Object] - hint that a missing GitHub repo is auto-created when a token is provided * fix(plugin-space-upload): narrow dialog and reset sm:max-w clamp The base DialogContent applies sm:max-w-lg at the sm breakpoint, which overrode the unprefixed max-w-none and clamped the upload card to 32rem on desktop. Set an explicit sm:max-width and size the card to ~36rem. Locale tabs now wrap instead of scrolling horizontally. * fix * fix(plugin-space-upload): address CI and UX feedback - narrow the upload dialog to ~36rem and reset the sm:max-w clamp - guide the publisher to the Space review page after a successful upload - drop the redundant null comparison flagged by code quality - update the operation-action expectation and Space/LangBot Account wording - ruff format the touched API modules * feat(plugin-space-upload): public repo, editable author/license, card red dot * fix(market): replace yellow download count with update available badge * style(market): unify installed and update indicators into badges * feat(plugin): redesign debug card banner, style debug icon, and prioritize debug plugins * feat(plugin-space-upload): simplify upload dialog layout, add creator verification and market redirection * fix(i18n): use LangBot Account terminology in Space upload dialog Co-authored-by: multica-agent <[email protected]> * style(i18n): reflow reworded locale strings for prettier Co-authored-by: multica-agent <[email protected]> * test(utils): stop timing out the pattern-count cap test on loaded runners Co-authored-by: multica-agent <[email protected]> --------- Co-authored-by: Hyu <[email protected]> Co-authored-by: RockChinQ <[email protected]> Co-authored-by: multica-agent <[email protected]>
Production-grade platform for building agentic IM bots.
Quickly build, debug, and ship AI bots to Slack, Discord, Telegram, WeChat, and more.
English / 简体中文 / 繁體中文 / 日本語 / Español / Français / 한국어 / Русский / Tiếng Việt
Website ｜ Features ｜ Docs ｜ API ｜ Cloud ｜ Plugin Market ｜ Roadmap
What is LangBot?
LangBot is an open-source, production-grade platform for building AI-powered instant messaging bots. It connects Large Language Models (LLMs) to any chat platform, enabling you to create intelligent agents that can converse, execute tasks, and integrate with your existing workflows.
Key Capabilities
- AI Conversations & Agents — Multi-turn dialogues, tool calling, multi-modal support, streaming output. Built-in RAG (knowledge base) with deep integration to Dify, Coze, n8n, Langflow, Deerflow, Weknora.
- Universal IM Platform Support — One codebase for Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
- Production-Ready — Access control, rate limiting, sensitive word filtering, comprehensive monitoring, and exception handling. Trusted by enterprises.
- Plugin Ecosystem — Hundreds of plugins, event-driven architecture, component extensions, and MCP protocol support.
- Web Management Panel — Configure, manage, and monitor your bots through an intuitive browser interface. No YAML editing required.
- Multi-Pipeline Architecture — Different bots for different scenarios, with comprehensive monitoring and exception handling.
→ Learn more about all features
📍 Practical guides: deploy a multi-platform AI bot in 5 minutes, connect DeepSeek to WeChat, Discord, and Telegram, run a Dify Agent in Discord, Telegram, and Slack, and build an n8n-powered chatbot.
😎 Stay Updated
Click the Star and Watch buttons in the top-right corner of the repository to get the latest updates.
Quick Start
Official plugin source index: plugins/README.md · machine-readable catalog · independent plugin releases. Plugins are installed separately and are not bundled in Core releases.
☁️ LangBot Cloud (Recommended)
Zero deployment, ready to use.
One-Line Launch
uvx langbot
Requires uv. Visit http://localhost:5300 — done.
Docker Compose
git clone https://github.com/langbot-app/LangBot
cd LangBot/docker
docker compose --profile all up -d
One-Click Cloud Deploy
More options: Docker · Manual · BTPanel · Kubernetes
Supported Platforms
| Platform | Status | Notes |
|---|---|---|
| Discord | ✅ | Official |
| Telegram | ✅ | Official |
| Slack | ✅ | Official |
| LINE | ✅ | Official |
| ✅ | Personal & Official API (Channel, DM, Group) | |
| WeCom | ✅ | Enterprise WeChat, External CS, AI Bot |
| ✅ | Personal & Official Account | |
| Lark | ✅ | Official |
| DingTalk | ✅ | Official |
| KOOK | ✅ | Official |
| Satori | ✅ | |
| ✅ | Matrix, Satori | |
| Matrix | ✅ | Supports multiple bridged platforms such as Signal, WhatsApp, Messenger, iMessage, Mattermost, Google Chat, IRC, XMPP, Zulip, and more |
Supported LLMs & Integrations
| Provider | Type | Status |
|---|---|---|
| OpenAI | LLM | ✅ |
| Anthropic | LLM | ✅ |
| DeepSeek | LLM | ✅ |
| Google Gemini | LLM | ✅ |
| xAI | LLM | ✅ |
| Moonshot | LLM | ✅ |
| Zhipu AI | LLM | ✅ |
| Ollama | Local LLM | ✅ |
| LM Studio | Local LLM | ✅ |
| Dify | LLMOps | ✅ |
| MCP | Protocol | ✅ |
| SiliconFlow | Gateway | ✅ |
| Aliyun Bailian | Gateway | ✅ |
| Volc Engine Ark | Gateway | ✅ |
| ModelScope | Gateway | ✅ |
| GiteeAI | Gateway | ✅ |
| CompShare | GPU Platform | ✅ |
| PPIO | GPU Platform | ✅ |
| ShengSuanYun | GPU Platform | ✅ |
| 接口 AI | Gateway | ✅ |
| 302.AI | Gateway | ✅ |
| Qiniu | Gateway | ✅ |
Why LangBot?
| Use Case | How LangBot Helps |
|---|---|
| Customer Support | Deploy AI agents to Slack/Discord/Telegram that answer questions using your knowledge base |
| Internal Tools | Connect n8n/Dify workflows to WeCom/DingTalk for automated business processes |
| Community Management | Moderate QQ/Discord groups with AI-powered content filtering and interaction |
| Multi-Platform Presence | One bot, all platforms. Manage from a single dashboard |
Built for AI Agents 🤖
LangBot is agent-friendly by design — your coding agents (Claude Code, Codex, Copilot, Cursor, …) can operate, extend, and deploy LangBot with first-class support:
- MCP Server — LangBot exposes a built-in Model Context Protocol endpoint at
/mcp, mirroring the HTTP API so an agent can manage bots, pipelines, plugins, and models programmatically. Authenticate with the same API key (set a global key inconfig.yamlor use a per-user key) — no login flow required. Configure it in the Web panel's API & MCP tab. - CLI (
lbctl) — The standalone LangBot CLI lets agents manage a running LangBot Workspace from a terminal through the Service API. It uses an API key and supports bots, pipelines, knowledge bases, models, plugins, skills, and MCP servers. See the CLI repository for installation and commands. - In-repo Skills — The
skills/directory is the single source of truth for working with LangBot: plugin development, core development, end-to-end testing, deployment, and operating the LangBot / LangBot Space MCP servers. Point your agent at this directory and it knows how to build. - AGENTS.md — Every repo ships an
AGENTS.md(symlinked toCLAUDE.md) describing architecture, conventions, and the rule that API changes must keep the MCP server and skills in sync. llms.txt— Machine-readable project context for LLMs is published on the website.
Cloud / Marketplace: LangBot Space also exposes an MCP server so agents can search and inspect the plugin / MCP / skill marketplace, authenticated with a Personal Access Token.
Community
Contributors
Thanks to all contributors who have helped make LangBot better: