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 raia-live · Agent Tool · ★ 82
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is amfs safe to install? View the security audit →
AMFS — Agent Memory File System The cognitive layer for multi-agent systems.Give your agents a shared brain. Website · Docs · Quick Start · Roadmap · Contributing The Pro
| Stars | 82 |
| Forks | 12 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 65.5173024616068/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-30 |
| Created | 2026-03-31 |
| Platforms | python |
| Est. Tokens | ~15k |
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amfs is Continual Learning for AI agents, helping your agents self-improve with every run. It is categorized as a Agent Tool with 82 GitHub stars.
amfs is primarily written in Python. It covers topics such as agent-management, agent-memory, ai.
You can find installation instructions and usage details in the amfs GitHub repository at github.com/raia-live/amfs. The project has 82 stars and 12 forks, indicating an active community.
amfs is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to amfs on Agent Skills Hub include oreilly-ai-agents, open-extract, lucid-memory. 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: