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KiwiFS can import data from databases, files, and SaaS platforms — converting each row/record into a markdown page with structured frontmatter. 
kiwifs import --from <source> [options] --root ./knowledge

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Supported sources

PostgreSQL

--from postgres

MySQL

--from mysql

SQLite

--from sqlite

MongoDB

--from mongodb

CSV

--from csv

JSON

--from json

YAML

--from yaml

Excel

--from excel

Notion

--from notion

Airtable

--from airtable

Google Sheets

--from gsheets

Firestore

--from firestore
Plus: JSONL, Obsidian vaults, Confluence exports, DynamoDB, Redis, Elasticsearch.

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Key features

  • Idempotent — re-importing the same data skips unchanged records
  • Column filtering — --columns "name,email,status" to include only specific fields
  • Dry run — --dry-run to preview what would be imported
  • Limit — --limit 100 to import a subset
  • Custom queries — --query "SELECT * FROM users WHERE active = true"

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How it works

Each record becomes a markdown file with frontmatter: 
---
_imported_at: "2026-04-25T18:46:15Z"
_source: users
_source_id: pg:users:42
name: Jane Doe
email: jane@example.com
role: admin
---

# Jane Doe

> Auto-imported from users (row pg:users:42)
The _source_id field enables idempotent re-imports — KiwiFS compares field values and skips records that haven’t changed.
Last modified on May 1, 2026