エージェントとマルチエージェント

LangBot

langbot-app/langbot

An open-source, production-grade platform for building and deploying AI-powered instant messaging bots across multiple platforms.

★ 17.2Kスター
⑂ 1.5Kフォーク数
124未解決の問題
Python言語
Apache-2.0ライセンス
Q@project.QualityScore編集部スコア

プロジェクトのスクリーンショット

LangBotのスクリーンショット LangBotのスクリーンショット LangBotのスクリーンショット LangBotのスクリーンショット LangBotのスクリーンショット LangBotのスクリーンショット

概要

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.

主な機能

  • 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

要件、インストール、クイックスタート

One-Line Launch: `uvx langbot` (requires uv). Docker Compose: clone the repository, navigate to the `LangBot/docker` directory, and run `docker compose --profile all up -d`. Cloud deployment options are also available via Zeabur and Railway.

使用方法

After installation, access the web management panel at http://localhost:5300 to configure IM platform connections, select LLM providers, set up pipelines, and manage plugins. A live demo is available at https://demo.langbot.dev/ with email `demo@langbot.app` and password `langbot123456`.

モデルの互換性とユースケース

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.

ライセンスとリスクに関する注意事項

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.

リリースとメンテナンス

Not stated in the repository metadata

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