Captures d'écran du projet
Vue d’ensemble
LangBot connects Large Language Models (LLMs) to various chat platforms, enabling the creation of intelligent agents capable of multi-turn dialogues, task execution, and workflow integration. It features a web management panel for configuration and monitoring, a multi-pipeline architecture for handling different bot scenarios, and extensive plugin and integration support.
Fonctionnalités clés
- Universal IM Platform Support (Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK, Matrix, Email)
- AI Conversations & Agents with multi-turn dialogues, tool calling, multi-modal support, and streaming output
- Built-in RAG (knowledge base) with deep integration to Dify, Coze, n8n, Langflow, Deerflow, and Weknora
- Plugin Ecosystem with hundreds of plugins, event-driven architecture, and MCP protocol support
- Web Management Panel for configuration, management, and monitoring without YAML editing
- Multi-Pipeline Architecture for managing different bots and scenarios
- Production-Ready features including access control, rate limiting, sensitive word filtering, and exception handling
- Agent-friendly design with a built-in MCP Server, in-repo skills directory, and AGENTS.md
Prérequis, installation et démarrage rapide
Utilisation
Compatibilité des modèles et cas d’usage
Supports OpenAI, Anthropic, DeepSeek, Google Gemini, xAI, Moonshot, Zhipu AI, Ollama, LM Studio, and various gateways like SiliconFlow, Aliyun Bailian, Volc Engine Ark, ModelScope, GiteeAI, 302.AI, and Qiniu. Integrates with LLMOps platforms like Dify.
Licence et notes sur les risques
Apache-2.0
Editorial verification 2026-08-09: repository URL, owner, description, license and repository statistics were reviewed. License metadata: Apache-2.0. README was fetched for the channel draft; re-check repository dependencies, releases and model terms before production use.
Publication et maintenance
Not stated in the repository metadata