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 verygoodplugins · Agent Tool · ★ 803
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is automem safe to install? View the security audit →
Long-term memory for AI assistants. Graph + vector. Runs on your hardware. containing a thumbnail image linking to the vidrush demo URL once recorded. Suggested markup: <img src="docs/img/
| Stars | 803 |
| Forks | 105 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63.5954027232178/100 |
| Open Issues | 11 |
| Last Updated | 2026-08-28 |
| Created | 2025-09-16 |
| Platforms | python |
| Est. Tokens | ~16k |
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automem is Long-term memory for AI assistants. Graph + vector store that recalls decisions, relationships, and context across sessions.. It is categorized as a Agent Tool with 803 GitHub stars.
automem is primarily written in Python. It covers topics such as ai, ai-memory, anthropic.
You can find installation instructions and usage details in the automem GitHub repository at github.com/verygoodplugins/automem. The project has 803 stars and 105 forks, indicating an active community.
automem is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to automem on Agent Skills Hub include Grov, EverMemOS, argo. 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: