AIlice: Fully autonomous, general-purpose AI agent

by myshell-ai · Agent Tool · ★ 1.4k

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

How to install AIlice

git clone https://github.com/myshell-ai/AIlice.git
docker run -it -p 127.0.0.1:5000:5000 --name ailice ailice --expose=1 --contextWindowRatio=0.2

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

Security audit verdict: SAFE · quality 67/100

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.

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Quick Facts

Stars1,417
Forks205
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score67/100
Open Issues7
Last Updated2025-08-18
Created2023-10-16
Platformspython
Est. Tokens~253k

About AIlice

Ailice Quick Start • Demo • Development • Twitter • Reddit ATTENTION! We currently has no plans to create any related crypto tokens. Please be cautious and recognize scams to avoid being deceived. (Updated on January 6, 2025) :fire: Mar 22, 2025: Ailice can now use MCP tools! Click here. :fire: Jan 23, 2025: Updated the voice dialogue feature.

Compatible Skills

These tools work well together with AIlice for enhanced workflows:

  • X-Master — semantic(0.43)+complementary+same_lang+similar_pop+shared_platform (60%)
  • claude-scientific-writer — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (59%)
  • LiteWebAgent — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (54%)
  • doc-to-lora — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)
  • wcgw — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)

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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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