by jaredrhod · MCP Server · ★ 594
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 594 |
| Forks | 147 |
| Category | MCP Server |
| License | CC-BY-SA-4.0 |
| Quality Score | 57/100 |
| Last Updated | 2026-08-31 |
| Created | 2026-06-18 |
| Platforms | claude-code, mcp |
| Est. Tokens | ~16k |
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).
These tools work well together with ai-memory-vault for enhanced workflows:
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.
The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Bui
Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.
Read, write, search, and surgically edit Obsidian vault notes, tags, and frontmatter via MCP. STDIO or Streama
An always-on second brain you talk to. Voice notes in Telegram → typed, linked knowledge in your Obsidian vaul
Persistent memory for AI coding agents
Architecture-first skill lifecycle for AI agents. BinEval binary scoring with threshold-blind, cross-family-ca
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: