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 agentscope-ai · Codex Skill · ★ 3.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ReMe safe to install? View the security audit →
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| Stars | 3,500 |
| Forks | 301 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 68.5821815455324/100 |
| Open Issues | 33 |
| Last Updated | 2026-09-23 |
| Created | 2024-08-29 |
| Platforms | python |
| Est. Tokens | ~20k |
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ReMe is ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.. It is categorized as a Codex Skill with 3.5k GitHub stars.
ReMe is primarily written in Python. It covers topics such as agent, ai-agents, dsh-plugin.
You can find installation instructions and usage details in the ReMe GitHub repository at github.com/agentscope-ai/ReMe. The project has 3.5k stars and 301 forks, indicating an active community.
ReMe is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to ReMe on Agent Skills Hub include MemOS, memsearch, EverOS. 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: