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Vault-for-LLM

Skill Infrastructure Usable

๐Ÿง  Local-first knowledge system for LLM agents โ€” sqlite-vec + ONNX embeddings, no cloud/Docker/PyTorch dependency

40 starsApache-2.0 (commercial OK)FreeQuick setup
Usable rating โ€” This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces operational overhead and latency by running vector embeddings locally without cloud dependencies, while lowering infrastructure costs through minimal dependencies. Addresses compliance and data sovereignty concerns in regulated environments.

DevOps teams and infrastructure engineers building on-premise LLM agents with strict data residency requirements.

Claude Code Claude Cowork Claude Chat

https://github.com/zycaskevin/Vault-for-LLM

By zycaskevin

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install zycaskevin/Vault-for-LLM

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars40Last updated2026-06-22LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-22 · scanner v1

Community Pulse Emerging

Discussed on Hacker News

1 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 40 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

How to evaluate tools before deploying โ†’

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 40 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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