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Conversational AI

Langbot

LangBot is an open-source platform designed for developing and deploying conversational AI bots across multiple instant messaging platforms. It supports integration with a variety of global AI model providers and offers a web-based interface that allows users to configure and deploy bots without extensive coding knowledge. The platform supports major messaging services including Telegram, Discord, Slack, WeChat, DingTalk, Feishu, and QQ. LangBot includes features such as knowledge base integration using vector embeddings, HTTP API and webhook support for external system integration, and a plugin system for extending functionality. It targets developers and technical teams seeking a flexible and extensible solution for instant messaging bot development.

Updated Feb 2, 2026open-source
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Overview

LangBot is an open-source instant messaging bot development platform supporting multiple AI models and messaging services.

Pricing
open-source
Category
Conversational AI
Company
Visual Guide
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Key Features
01
Deploy conversational AI bots across platforms including Feishu, DingTalk, WeChat, QQ, Telegram, Discord, and Slack.
02
Supports AI models from providers such as OpenAI, DeepSeek, Moonshot, Anthropic, xAI, and Zhipu AI.
03
Implements Agent workflows, Retrieval-Augmented Generation using Chroma vector database, and Model Context Protocol with Stdio and HTTP support.
04
Integrates embedding models to create vector-based knowledge bases for enhanced conversational context.
05
Provides HTTP API interfaces with API key authentication and outgoing webhook capabilities for integration with external systems.
06
Supports component extensions through cross-process communication and asynchronous technology.
07
Offers a web interface for configuring and deploying bots without requiring command-line interaction.
Real-World Use Cases

Cross-platform Instant Messaging Bots

Developers can build AI-powered bots that operate seamlessly across multiple messaging platforms including both global and Chinese services.

Custom AI Model Integration

Technical teams can integrate various AI models from different providers to tailor bot responses and capabilities.

Knowledge Base Enhanced Conversations

Users can create vector-based knowledge bases to improve the contextual understanding and accuracy of bot interactions.

Quick Start
1
Deploy LangBot
Choose a deployment method from the documentation and deploy the platform accessible at http://127.0.0.1:5300 or your server's public IP.
2
Initialize the System
Complete initialization by entering an email and password, then save these credentials securely.
3
Configure Bots
Set up your bots through the 'Configure Bots' section in the sidebar of the web interface.
4
Configure Dialogue Models
Add and configure AI models in the 'Configure Dialogue Models' section to define bot behavior.
5
Set Up Pipelines
Configure additional features and workflows through the Pipeline section if needed.
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Strategic Context for Langbot

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Pricing
Model: open-source

LangBot is open-source and available for self-deployment. No official pricing or subscription plans are documented.

Assessment
Strengths
  • Open-source and self-hosted, allowing full control over deployment and source code modification.
  • Supports a broad range of messaging platforms including major global and Chinese instant messaging services.
  • Flexible integration with multiple AI model providers.
Limitations
  • No official pricing or hosted service options documented, requiring users to self-host and manage deployments.
  • Limited publicly available information on GitHub repository statistics and community activity.
Alternatives
Landbot→