No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by langbot-app · Codex Skill · ★ 17.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is LangBot safe to install? View the security audit →
Production-grade platform for building agentic IM bots. Quickly build, debug, and ship AI bots to Slack, Discord, Telegram, WeChat, and more. English / 简体中文 / 繁體中文 / 日本語 / Español / Français / 한국어 / Русский / Tiếng Việt [ engine that fuses cutting-edge RAG with
AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature,
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LangBot is 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, 企微智能机器人, 公众号) / 飞书 / 钉钉 / QQ / Matrix e.g. Integr. It is categorized as a Codex Skill with 17.7k GitHub stars.
LangBot is primarily written in Python. It covers topics such as agent, coze, deepseek.
You can find installation instructions and usage details in the LangBot GitHub repository at github.com/langbot-app/LangBot. The project has 17.7k stars and 1588 forks, indicating an active community.
LangBot is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to LangBot on Agent Skills Hub include ragflow, AstrBot, chatgpt-on-wechat. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: