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 MihaiBuilds · MCP Server · ★ 65
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is memory-vault safe to install? View the security audit →
Memory Vault The memory database for AI applications. Self-hosted Postgres + pgvector with hybrid search, MCP-native, and a knowledge graph baked in. Every conversation with Claude or ChatGPT starts from zero. No memory of what you built last week, what decisions you made last month, what problems you've already solved. You either re-explain everything from scratch, or paste in a wall of context and hope it fits in the window. Memory Vault is the persistent layer underneath. It stores what you want your AI to re
| Stars | 65 |
| Forks | 14 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 78.64311925925/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-30 |
| Created | 2026-03-21 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~21k |
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memory-vault is A local-first AI memory system with hybrid search, MCP integration, and a knowledge graph.. It is categorized as a MCP Server with 65 GitHub stars.
memory-vault is primarily written in Python. It covers topics such as ai-memory, claude, hybrid-search.
You can find installation instructions and usage details in the memory-vault GitHub repository at github.com/MihaiBuilds/memory-vault. The project has 65 stars and 14 forks, indicating an active community.
memory-vault is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to memory-vault on Agent Skills Hub include claude-mem-lite, knowledge-rag, omega-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: