robrain: Shared memory across your team and your AI agents — with judgment about what's worth keeping

by adelinamart · Agent Tool · ★ 81

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

How to install robrain

git clone https://github.com/adelinamart/robrain
npx robrain install --self-hosted --repo-root "$(pwd)"

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

Security audit verdict: SAFE · quality 69/100

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.

agentai-agentsclaude-codecontext-engineeringcursormemorymemory-managementopen-source

Quick Facts

Stars81
Forks4
LanguageTypeScript
CategoryAgent Tool
LicenseApache-2.0
Quality Score69/100
Last Updated2026-10-07
Created2026-05-04
Platformsclaude-code, node
Est. Tokens~16k

About robrain

RoBrain Shared memory across your team and your AI agents — with judgment about what's worth keeping. RoBrain isn't just another memory layer — it's the brain that helps you and your agents make better decisions and avoid costly mistakes. Self-hosted on your own Postgres. Passive capture, structured vetoes, corpus-wide contradiction scans — nothing leaves your machine.

Compatible Skills

These tools work well together with robrain for enhanced workflows:

  • forgent3d — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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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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