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kindstore

v0.3.7

Published

A lightweight, typed document store on SQLite with Zod schemas, indexed queries, and explicit migrations.

Readme

kindstore

kindstore is a registry-driven document store for Bun and SQLite. You define document kinds with Zod, declare which top-level fields are queryable, and keep payload and schema migrations explicit.

Requires Bun at runtime because kindstore uses bun:sqlite.

bun add kindstore zod

The skills.sh command line tool makes it easy to teach your favorite coding agent how to use Kindstore:

npx skills add alloc/kindstore
import { z } from "zod";
import {
  kind,
  kindstore,
  type KindInput,
  type KindOutput,
} from "kindstore";

const Post = z.object({
  authorId: z.string(),
  slug: z.string(),
  title: z.string(),
  status: z.enum(["draft", "published"]),
});

const db = kindstore({
  filename: ":memory:",
  schema: {
    posts: kind("pst", Post)
      .updatedAt()
      .index("authorId")
      .index("slug")
      .index("status")
      .index("updatedAt"),
  },
});

const id = db.posts.newId();

db.posts.put(id, {
  authorId: "usr_1",
  slug: "hello-kindstore",
  title: "Hello, kindstore",
  status: "published",
});

const publishedPosts = db.posts.findMany({
  where: { status: "published" },
  orderBy: { updatedAt: "desc" },
});

const firstPage = db.posts.findPage({
  where: { status: "published" },
  orderBy: { updatedAt: "desc" },
  limit: 20,
});

type PostInput = KindInput<typeof db.schema.posts>;
type PostOutput = KindOutput<typeof db.schema.posts>;

That example covers the happy path, but kindstore also supports:

  • one-step document creation with create() when you want kindstore to allocate the ID
  • full-document replacement and targeted updates with get(), put(), update(), and delete() in the same typed collection API
  • lazy query iteration with iterate() when you want incremental processing instead of materializing every result
  • compound indexes with .multi(...) for query shapes like status + updatedAt or userId + id
  • access to the declared kind builders through db.schema
  • typed store-level metadata via db.metadata
  • atomic multi-write workflows with db.batch(...)
  • raw SQLite access through db.raw when you need an escape hatch
  • eager payload migrations with kind-level .migrate(version, steps)
  • explicit structural migrations for renames, drops, and tag changes with top-level migrate(...)

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