anchoring-ai: An open-source no-code tool for teams to collaborate on building, evaluating, and hosting applications

by AnchoringAI · Agent Tool · ★ 155

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How to install anchoring-ai

git clone https://github.com/AnchoringAI/anchoring-ai.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 74/100

Flagged: sudo usage. 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.

aianchoringapacheartificial-intelligenceflasklangchainlanguage-modellarge-language-modelsmysqlnatural-language-processing

Quick Facts

Stars155
Forks28
LanguageJavaScript
CategoryAgent Tool
LicenseApache-2.0
Quality Score74/100
Open Issues1
Last Updated2023-11-30
Created2023-09-23
Platformsnode
Est. Tokens~41k

About anchoring-ai

Anchoring AI Why Anchoring AI? | Live Demo and Videos | Docker Deployment | Installation Guide Why Anchoring AI? Anchoring AI is an open-source no-code tool for teams to collaborate on building, evaluating, and hosting applications leveraging GPT and other large language models. You could easily build and share LLM-powered apps, manage your budget and run batch jobs.

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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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