ai-memory-vault — security grade SAFE, quality 57/100

Security audit verdict: SAFE · quality 57/100

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 jaredrhod · MCP Server · ★ 594

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is ai-memory-vault safe to install? View the security audit →

About ai-memory-vault

AI Memory Vault Give your AI a real, persistent memory. This is the open-source system that turns an Obsidian vault into your AI's working memory, so it remembers everything across sessions, lives outside the model with no size ceiling, and pulls back exactly what it needs in one step. Free to use, share, and build on, just not to resell (see LICENSE). The build ai-memory-vault.md: the build script. Run it inside Claude and it interviews you, then builds a complete, self-maintaining system: a boot config, a folder structure around your real projects, daily notes that write themselves, a profile that updates as the AI learns about you, and "Jobs" that teach it to do your recurring tasks your way. Your vault becomes the AI's memory, so it lives outside the model with no size ceiling, and the AI holds only what the current task needs while reaching anything else in one step. Watch the walkthrough: https://www.youtube.com/watch?v=z9YzRqjJo4k Templates Starter files for the system, ready to drop in and fill out. Each one carries a sample vault path so the AI knows where your vault lives. CLAUDE.md: the boot config.

agent-memoryaiai-agentsai-memoryanthropicclaudeclaude-codeclaude-skillsknowledge-managementllm

Quick Facts

Stars594
Forks147
CategoryMCP Server
LicenseCC-BY-SA-4.0
Quality Score57.4042300578382/100
Last Updated2026-08-31
Created2026-06-18
Platformsclaude-code, mcp
Est. Tokens~16k

Compatible Skills

These tools work well together with ai-memory-vault for enhanced workflows:

ai-memory-vault alternative? Top 6 similar tools

Looking for a ai-memory-vault alternative? If you're comparing ai-memory-vault 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.

  • swarmvault by swarmclawai · ⭐ 649

    The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Bui

  • Ori-Mnemos by aayoawoyemi · ⭐ 324

    Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.

  • vestige by samvallad33 · ⭐ 628

    Cognitive Deterministic Memory Security OS for Agentic AI. Deterministic root-cause retrieval that reaches bac

  • agent-second-brain by smixs · ⭐ 367

    An always-on second brain you talk to. Voice notes in Telegram → typed, linked knowledge in your Obsidian vaul

  • omega-memory by omega-memory · ⭐ 218

    Persistent memory for AI coding agents

  • Grov by TonyStef · ⭐ 193

    Grov automatically captures the context from your private AI sessions and syncs it to a shared team memory. It

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Frequently Asked Questions

What is ai-memory-vault?

ai-memory-vault is Give your AI a real, persistent memory. The open-source system plus templates that turn an Obsidian vault into your AI's working memory. No vector database, just markdown.. It is categorized as a MCP Server with 594 GitHub stars.

How do I install or use ai-memory-vault?

You can find installation instructions and usage details in the ai-memory-vault GitHub repository at github.com/jaredrhod/ai-memory-vault. The project has 594 stars and 147 forks, indicating an active community.

What license does ai-memory-vault use?

ai-memory-vault is released under the CC-BY-SA-4.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to ai-memory-vault?

The top alternatives to ai-memory-vault on Agent Skills Hub include swarmvault, Ori-Mnemos, vestige. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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