qq-maid-bot: 轻量、自托管的多入口 AI Agent 机器人|QQ 官方 / OneBot 11 / NapCat / 微信|Rust

by kuliantnt · Agent Tool · ★ 125

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install qq-maid-bot

docker pull kuliantnt/qq-maid-bot:latest
git clone https://github.com/kuliantnt/qq-maid-bot.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 63/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentschatbotllmlow-memorymemorynapcatnapcatqqonebot-v11onebot11qq-bot

Quick Facts

Stars125
Forks21
LanguageRust
CategoryAgent Tool
LicenseMIT
Quality Score63/100
Open Issues26
Last Updated2026-10-23
Created2026-06-17
Platformsrust
Est. Tokens~26k

About qq-maid-bot

小女仆机器人 一个会聊天、会记事、会调用工具,也会主动推送的轻量、自托管、多入口 AI Agent 机器人。 Rust 单进程 · 约 25 MiB 常驻内存 · 默认空闲时 3 个线程 · Provider 无关 Agent Loop · 多模态输入 · 主动推送 · 模型自动降级 项目使用 Rust 构建,当前以 QQ 官方机器人为主要入口,同时支持 OneBot 11 和可选的微信服务号文本入口。它在同一个进程中提供多轮会话、受控长期记忆、Todo 与提醒、RSS 推送、本地知识检索、联网查询、多模态理解和 Tool Calling。 💡 仓库早期以 QQ 机器人为主,因此仍保留 名称。当前项目正在从 QQ 官方机器人演进为多入口平台型小女仆机器人。 当前稳定版本为 ,项目处于...

Compatible Skills

These tools work well together with qq-maid-bot for enhanced workflows:

  • bifrost — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • zapcode — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)
  • hermes-agent-rs — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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