Vault-for-LLM
Active·★ 50·MIT·Updated 2026-08-27
Vault-for-LLM is a local-first memory layer for LLM agents. It creates a portable SQLite knowledge vault from Markdown notes, allowing agents to search and retrieve structured memory on demand. It focuses on agent-oriented memory with bounded retrieval and optional embeddings.
#embeddings#knowledge-base#llm#local-first#mcp-server#mcp-servers#onnx#rag
01
Features
01Local-first SQLite storage
02Keyword + optional vector/hybrid search
03Memory layers (L0-L3) for structured context
04Document Map with bounded citations
05MCP server integration for agent access
02
Compatibility
Python
Python CLI
Verified via docs
MCP
MCP Server
Verified via docs
03
Quick start
1
$ python3 -m venv .venv
2
$ source .venv/bin/activate
3
$ pip install vault-for-llm
04
Use cases
↳Persistent project context for AI agents across sessions
↳Debugging and troubleshooting knowledge retrieval
↳Team collaboration via synced knowledge vaults
05
Alternatives
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