langbot-app/langbot

Production-grade platform for building agentic IM bots - 生产级多平台智能机器人开发平台/ Agent、知识库编排、插件系统 / Bots for Discord / Slack / LINE / Telegram / WeChat(企业微信,...

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Summary Information

Updated 59 minutes ago
Added to GitGenius on September 3rd, 2026
Created on December 7th, 2022
Open Issues & Pull Requests: 119 (+0)
GitHub issues: Enabled
Number of forks: 1,587
Total Stargazers: 17,684 (+0)
Total Subscribers: 184 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 10.3 hours
Mean response time: 27.5 days
90th percentile: 66.1 days
Tracked items: 854

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 79% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "m: Session" is answered fastest, typically in about an hour, while "eh: Improve" waits about 5 days. 71% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 8% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 107
New in 7 days: 4
Closed in 7 days: 10
Avg open age: 244 days
Stale 30+ days: 97
Stale 90+ days: 82

Recent activity

Opened in 7 days: 4
Closed in 7 days: 9
Comments in 7 days: 3
Events in 7 days: 12

Top labels

  • bug? (448)
  • pd: Need reproducing (99)
  • External Plugin (85)
  • pd: Need design (78)
  • eh: Feature (75)
  • eh: Improve (65)
  • m: Platform (58)
  • m: Session (57)

Detailed Description

LangBot is a production-grade platform for building agentic instant messaging bots that connect large language models to chat platforms like Discord, Slack, Telegram, WeChat, and others.

The platform addresses the challenge of deploying AI agents across multiple messaging services by providing a unified codebase and management layer. It integrates with major LLM providers and orchestration tools including ChatGPT, Claude, DeepSeek, Dify, Coze, n8n, and Langflow. The tool handles multi-turn conversations, tool calling, knowledge base retrieval, and streaming output through a web dashboard that requires no YAML configuration. Production features include access control, rate limiting, sensitive word filtering, and comprehensive monitoring.

Teams building bots for enterprise environments should consider LangBot if they need to support multiple messaging platforms simultaneously without maintaining separate integrations. The platform suits organizations already invested in LLM orchestration tools like Dify or Coze, as it provides deep integration with these systems. It is particularly valuable for enterprises requiring production-grade reliability, access controls, and monitoring rather than simple chatbot experimentation.

The project maintains a substantial base of real-world adopters, with almost all open issues raised by outside users rather than the core team. Maintainers typically respond to new issues and pull requests within a day. Work in the issue tracker centers on bug reports, reproduction requests, and external plugin development.