No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by nicosuave · Codex Skill · ★ 224
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is memex safe to install? View the security audit →
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. Includes a TUI for browsing, finding and resuming both agent CLI sessions. Install Or Or (from the AUR on Arch Linux): Or (with Nix): Nix development and advanced configuration Development shell: Note: No binary cache is configured, so first builds compile from source. NixOS service: Enable background indexing with the provided module: Home Manager: Configure memex declarat
| Stars | 224 |
| Forks | 29 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 67.4543130373343/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-22 |
| Created | 2026-01-01 |
| Platforms | claude-code, cli, codex, rust |
| Est. Tokens | ~23k |
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memex is Search Claude Code, Codex, Pi, OpenCode, Github Copilot & Cursor transcripts. Resume sessions. Track tokens.. It is categorized as a Codex Skill with 224 GitHub stars.
memex is primarily written in Rust. It covers topics such as bm25, claude-code, codex-cli.
You can find installation instructions and usage details in the memex GitHub repository at github.com/nicosuave/memex. The project has 224 stars and 29 forks, indicating an active community.
memex is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to memex on Agent Skills Hub include memorix, kasetto, fast-resume. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: