memex: Search Claude Code, Codex, Pi, OpenCode, Github Copilot & Cursor transcripts. Resume sessions. Track tokens

by nicosuave · Codex Skill · ★ 307

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

How to install memex

brew install nicosuave/tap/memex

Taken from the project's README on GitHub.

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.

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.

bm25claude-codecodex-clicopilotherdr-pluginhermes-agenthybrid-searchopenclawopencodepi

Quick Facts

Stars307
Forks43
LanguageRust
CategoryCodex Skill
LicenseMIT
Quality Score67/100
Open Issues2
Last Updated2026-11-06
Created2026-01-01
Platformsclaude-code, cli, codex, rust
Est. Tokens~23k

About memex

memex Fast local history search for Claude, Codex CLI & OpenCode logs. Uses BM-25 and optionally embeds your transcripts locally for hybrid search. Mostly intended for agents to use via skill. The intended workflow is to ask agent about a previous session & then the agent can narrow things down & retrieve history as needed.

memex alternative? Top 6 similar tools

Looking for a memex alternative? If you're comparing memex with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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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