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 OWASP · MCP Server · ★ 179
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is www-project-agent-memory-guard safe to install? View the security audit →
OWASP Agent Memory Guard 📦 13,900+ total downloads 🏆 Officially recognized as an OWASP Incubator Project Stop AI agents from being weaponized through their own memory. Runtime defense that catches memory poisoning — even after a context res
| Stars | 179 |
| Forks | 47 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.0970601858147/100 |
| Open Issues | 26 |
| Last Updated | 2026-09-20 |
| Created | 2026-02-16 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~16k |
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www-project-agent-memory-guard is OWASP Foundation web repository. It is categorized as a MCP Server with 179 GitHub stars.
www-project-agent-memory-guard is primarily written in Python. It covers topics such as agent-memory, agentic-ai, ai-agents.
You can find installation instructions and usage details in the www-project-agent-memory-guard GitHub repository at github.com/OWASP/www-project-agent-memory-guard. The project has 179 stars and 47 forks, indicating an active community.
www-project-agent-memory-guard is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to www-project-agent-memory-guard on Agent Skills Hub include agent-audit, asqav-sdk, agent-security-scanner-mcp. 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: