zorai: Persistent, multi-agent, auditable, learning execution platform where the daemon owns work, memory, approvals

by mkurman · Agent Tool · ★ 325

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

How to install zorai

npm install -g zor-ai
npm install zor-ai

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

Security audit verdict: SAFE · quality 61/100

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.

Quick Facts

Stars325
Forks24
LanguageRust
CategoryAgent Tool
LicenseMIT
Quality Score61/100
Open Issues1
Last Updated2026-10-22
Created2026-03-10
Platformsrust
Est. Tokens~24k

About zorai

Read our docs 🌐 docs.zorai.app zorai Fully agentic daemon runtime for durable AI work. Zorai is a persistent, multi-agent, auditable, learning execution platform where the daemon owns work, memory, approvals, tools, and long-running goals. Official website: https://zorai.app Zorai keeps the agent runtime, operator surfaces, tools, memory, and governed execution in one place.

Compatible Skills

These tools work well together with zorai for enhanced workflows:

  • box0 — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
  • open-relay — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)

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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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