zycaskevin/Vault-for-LLM — 🧠 Local-first knowledge system for LLM agents — sqlite-vec + ONNX embeddings, no cloud/Docker/PyTor…

Description and use

**Vault-for-LLM** is a lightweight, local‑first knowledge base designed for large‑language‑model agents. It stores documents in SQLite using the sqlite-vec extension and generates ONNX‑based embeddings, eliminating the need for cloud services, Docker containers, or PyTorch. This makes it easy to integrate fast, self‑contained vector search into AI/ML, backend, or DevOps workflows.

Problem

zycaskevin/Vault-for-LLM helps connect AI assistants to real tools and data through a standard protocol.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

🧠 Local-first knowledge system for LLM agents — sqlite-vec + ONNX embeddings, no cloud/Docker/PyTorch dependency

Source