fastkb 0.2.4

CLI utilit to find info in file system

FastKB

A minimalist CLI tool for indexing and searching local text files using SQLite FTS5. Fast, offline, and zero-dependency.

Features

• Fast Indexing: Recursively scans directories and files.
• Full-Text Search: Instant ranked search (BM25) via SQLite FTS5.
• Auto-Sync: SQL triggers keep the search index updated automatically.
• In-Memory Mode: Run entirely in RAM for zero-disk-footprint operations.

Installation

Core (CLI + FTS5 search):

pip install fastkb

With AI/MCP support:

pip install "fastkb[mcp]"

Quick Start

1. Initialize

Create the database and search triggers:

fastkb init

2. Index

Scan folders or specific files:

fastkb index ./docs ./notes.txt

3. Search

Search for content (returns top 5 results by default):

fastkb query "your search term"

Advanced Usage

In-Memory Mode

Use --memory (-m) to run the database entirely in RAM. Ideal for CI/CD pipelines, automated tests, or temporary scans that shouldn't leave files on disk.

fastkb --memory index ./src
fastkb --memory query "timeout error"

Note: The in-memory database is transient and clears when the process exits. Best used for single-session workflows or scripted runs.

CLI Reference

Commands

Command	Arguments	Description
init	-	Initialize database and FTS index
index	paths [paths ...]	Index directories or files recursively
query	text	Search the indexed knowledge base

Global & Query Options

Flag	Scope	Default	Description
-m, --memory	Global	false	Use in-memory database (non-persistent)
-l, --limit	query	5	Maximum number of search results to return

AI Integration

FastKB supports the Model Context Protocol (MCP) for seamless integration with Claude Desktop, Cursor, Cline, Continue, and other AI assistants.