Core Capabilities at a Glance
- AI Conversation & Agent — multi-turn dialogue, tool calling (function calling), multimodal (image/audio/file) and streaming output, ready out of the box.
- RAG Knowledge Base — a built-in knowledge-base engine (vector retrieval + Rerank re-scoring) so your bot answers from your private knowledge, extensible via plugins to seamlessly connect external knowledge-base services like RAGFlow, Dify and FastGPT.
- All-Platform Coverage — one codebase reaches Discord, Telegram, Slack, LINE, KOOK, Matrix, QQ, WeChat, WeCom, Lark, DingTalk and more.
- Deep Agent Platform Integration — native connectors for Dify, Coze, n8n, Langflow, Deerflow, Aliyun Bailian, Ant TBox and other orchestration & workflow platforms.
- Skills & Code Sandbox — on-demand instruction packs paired with a securely isolated code-execution sandbox, so the agent actually gets things done.
- MCP Protocol — acts as a client into the Model Context Protocol tool ecosystem, supporting both Stdio and HTTP transports.
- Web Management Panel — configure, manage and monitor bots visually in the browser, no manual config editing.
- Production-grade Plugin System — hundreds of community plugins on a cross-process, event-driven architecture that’s safe and hot-pluggable.
- Multi-pipeline Architecture — run multiple pipelines per instance so different bots serve different scenarios, with access control, rate limiting, sensitive-word filtering and comprehensive monitoring.
Instant Messaging Platform Support
LangBot covers mainstream global IM platforms through a unified adapter layer — develop once, reach everywhere.
🚧: In development
For fine-grained, per-platform feature support (sending/receiving images, audio, files, rich text, streaming responses, etc.), see the platform features document.
Model and Agent Platform Support
LangBot uses LiteLLM as a unified model request backend, so beyond the built-in providers below you can also connect any OpenAI / Anthropic API-format or LiteLLM-supported model.LLM, Aggregation & GPU Platforms
Agent Platforms
Plug your existing workflows or agents straight into IM platforms — no need to rewrite your business logic.Rerank Models
LLM Application Paradigm Implementation
LangBot turns mainstream LLM application paradigms into out-of-the-box capabilities, covering the full path from “can chat” to “can get work done.”- Skills: package a professional workflow, template or script into an on-demand instruction pack — the agent pulls it into context only when the user’s request matches, keeping the System Prompt clean. See the Skills doc.
- Code Sandbox: gives the agent securely isolated code-execution capability, automatically picking the best of the Docker / nsjail / E2B backends — the runtime foundation for Skills and native tools. See the Sandbox doc.
System Extensibility
LangBot offers a complete extension surface for secondary development and enterprise integration.- HTTP Service API: access LangBot’s entities through HTTP interfaces with API-key authentication, for easy integration with existing systems.
- Outgoing Webhook: push LangBot’s internal events to external systems in real time, enabling event-driven automation.
- Production-grade Plugin System: built on cross-process communication and async technology, supporting various component extensions — safe, stable and hot-pluggable; hundreds of community plugins install in one click from the extension marketplace.
- Web Management Panel: do all your bot, model, pipeline, knowledge-base and plugin configuration and monitoring visually.
Deployment Options
LangBot supports everything from a one-line command to a Kubernetes cluster:- LangBot Cloud (recommended): a hosted, deploy-free, out-of-the-box version.
- One-line start:
uvx langbot, then openhttp://localhost:5300. - Docker Compose, aaPanel, Kubernetes, one-click cloud deploy on Zeabur / Railway, and more.
Case Screenshots
