signetai: Sync and store memories, transcripts, institutional knowledge, and secrets between all of your favorite

by Signet-AI · Codex Skill · ★ 313

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

How to install signetai

npm install -g signetai
bun add -g signetai

Taken from the project's README on GitHub.

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.

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.

agent-memoryai-memoryclaude-codecodexhermes-agenthermes-agent-pluginhermes-pluginoh-my-piopenclawopencode

Quick Facts

Stars313
Forks43
LanguageTypeScript
CategoryCodex Skill
Quality Score65/100
Open Issues107
Last Updated2026-11-07
Created2026-02-11
Platformsclaude-code, codex, node
Est. Tokens~19k

About signetai

Signet AI Own your agent's context. 97.6% average LongMemEval answer accuracy Local-first context · source-backed recall · repairable memory · portable across agents Quick start · Why Signet · Benchmarks · Docs · Discord Models change. Providers change. Agent shells change. Your context should not. Your agents are starting to remember projects, users, decisions, documents, conversations, p

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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:

View on GitHub → Browse Codex Skill tools