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 · MCP Server · ★ 64
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-automem safe to install? View the security audit →
AutoMem MCP: Give Your AI Perfect Memory One command. Infinite memory. Perfect recall across all your AI tools. Your AI assistant now remembers everything. Forever. Across every conversation. https://github.com/user-attachments/assets/fd79112b-5158-4320-a054-8c18ab1ea314 The guided installer — npx @verygoodplugins/mcp-automem install walks you through local, hosted, or existing-endpoint setup. Works with Claude Desktop, Cursor IDE, Claude Code, GitHub Copilot (coding agent), ChatGPT, ElevenLabs, OpenAI Codex, OpenClaw, Hermes, Grok Build, Google Antigravity - any MCP-compatible AI platform. The Proble
| Stars | 64 |
| Forks | 15 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 58.6294602812054/100 |
| Open Issues | 12 |
| Last Updated | 2026-08-25 |
| Created | 2025-09-22 |
| Platforms | claude-code, cli, codex, mcp, node |
| Est. Tokens | ~13k |
These tools work well together with mcp-automem for enhanced workflows:
Looking for a mcp-automem alternative? If you're comparing mcp-automem with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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Explore other popular mcp server tools:
mcp-automem is MCP client for AutoMem — give Claude, Cursor, Codex, and other MCP tools durable graph+vector memory across conversations.. It is categorized as a MCP Server with 64 GitHub stars.
mcp-automem is primarily written in TypeScript. It covers topics such as ai, ai-memory, automem.
You can find installation instructions and usage details in the mcp-automem GitHub repository at github.com/verygoodplugins/mcp-automem. The project has 64 stars and 15 forks, indicating an active community.
mcp-automem is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-automem on Agent Skills Hub include claude-historian-mcp, omega-memory, easy-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: