maid: Free and open source application for interfacing with llama.cpp models locally, and with Anthropic, DeepSeek

by Mobile-Artificial-Intelligence · Agent Tool · ★ 2.7k

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How to install maid

git clone https://github.com/Mobile-Artificial-Intelligence/maid.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 65/100

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. Full audit →

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.

androidanthropicchatbotchatgptclaudedeepseekfacebookggufllamallama-cpp

Quick Facts

Stars2,724
Forks301
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score65/100
Open Issues10
Last Updated2026-10-15
Created2023-10-17
Platformsclaude-code, node
Est. Tokens~15k

About maid

Maid - Mobile Artificial Intelligence Distribution <a href='https://play.google.com/store/apps/details?id=com.danemadsen.maid&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-Par

Compatible Skills

These tools work well together with maid for enhanced workflows:

  • claudecodeui — semantic(0.16)+complementary+shared_fw(anthropic,openai)+same_lang+similar_pop+shared_platform (66%)
  • repomix — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)
  • comfyui_LLM_party — semantic(0.19)+complementary+shared_fw(ollama,openai)+rare_topics+similar_pop (57%)
  • compose-for-agents — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

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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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