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 VictorTaelin · Agent Tool · ★ 1.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is OptMem safe to install? View the security audit →
OptMem Permanent memory for AI agents. A 426-token prompt, a script, plug and play. Install It prints a block. Paste that at the top of your agent's (or ), and you are done. Run the same line again to update. The tool lands at ; put on to type . Commands Merges arrive one at a time, in the output of . Nothing ever runs in the background. Files is the only
| Stars | 1,539 |
| Forks | 102 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 63.838993593621/100 |
| Open Issues | 12 |
| Last Updated | 2026-07-31 |
| Created | 2026-07-25 |
| Platforms | python |
| Est. Tokens | ~14k |
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OptMem is Permanent memory for AI agents. A 426-token prompt, a script, plug and play.. It is categorized as a Agent Tool with 1.5k GitHub stars.
OptMem is primarily written in Python.
You can find installation instructions and usage details in the OptMem GitHub repository at github.com/VictorTaelin/OptMem. The project has 1.5k stars and 102 forks, indicating an active community.
The top alternatives to OptMem on Agent Skills Hub include agent-skills, excalidraw-diagram-skill, raptor. 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: