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Tome

tomedb.devDatabases (SQL, NoSQL, vector, graph)

PulseGate's liveness check found it on 19 Sep 2026; it is registered on GitHub and has been in the index since 19 Sep 2026. How this is checked

Tome is an open-source desktop database client that lets users query databases with natural language and AI-assisted SQL editing. It provides agent and editor modes, schema-aware autocomplete, semantic indexing, query optimization, and readable result formatting.

Inferred · not functionally tested

Open SourceApache-2.0WebmacOS
Tome preview
Visit tomedb.dev
50stars
5forks
12features
2025since

Overview

6 features

Purpose: Writing and understanding SQL queries when working with databases.

Inferred · not functionally tested

Audience: developers and data analysts

Inferred · not functionally tested

Functions: data_extraction

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: unknown · Self-hosting: unknown

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: DESKTOP, WEB · deployment: browser, macos

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: tomedb.dev · github.com. These links do not verify the individual claims.

Tome is a Databases (SQL, NoSQL, vector, graph) project. Inferred · not functionally tested: It focuses on writing and understanding SQL queries when working with databases. Inferred · not functionally tested: Tome is an open-source project aimed at developers and data analysts. Basis unknown · not verified: Tome is open source under the Apache-2.0 license. Basis unknown · not verified: It ships for the web and macOS.

It is developed by Josh Kotrous, and it first shipped in 2025. Development happens publicly on GitHub with 50 stars. Inferred · not functionally tested: Key capabilities include Natural Language Queries, SQL Generation, and Query Optimization.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Natural Language Queries
  • SQL Generation
  • Query Optimization
  • Schema Awareness
  • Semantic Indexing
  • Relationship Detection

Topics: Inferred · not functionally tested

Tags
natural-language-sqldatabase-clientschema-aware-ailocal-firstquery-editor
AI capabilities
TextStructured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Framework
Next.jsReact
Hosting
Vercel
Written with
Cursor
Runs on
BrowsermacOS
Written with — evidence
Cursor
commit 9dac5e85bf6a · since Jul 2025
Detected from
Next.js
x-nextjs-prerender header · /_next/static/ in the HTML · __next_f in the HTML
Vercel
x-vercel-id header · x-vercel-cache header

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceFree tierGitHub · ★ 50

Indexing history

2

What PulseGate has recorded for this listing

  1. Indexed15 Sep · 06:35 UTC
    joshkotrous/tome seen via GitHub Search (Smart)
    Source: GitHub Search (Smart) · Open
  2. Indexed6 Sep · 02:00 UTC
    joshkotrous/tome seen via GitHub Search (Smart)
    Source: GitHub Search (Smart) · Open

Frequently asked questions about Tome

What does Tome do?
Inferred · not functionally tested: Tome focuses on writing and understanding SQL queries when working with databases. It is catalogued under Databases (SQL, NoSQL, vector, graph) on PulseGate.
Who is Tome for?
Inferred · not functionally tested: Tome is an open-source project built for developers and data analysts.
Is Tome free?
Basis unknown · not verified: Yes — Tome is open source under the Apache-2.0 license and free to use.
What platforms does Tome run on?
Basis unknown · not verified: Tome runs on the web and macOS.
Is Tome still active?
PulseGate's liveness check found it on 19 Sep 2026.
Who develops Tome?
Tome is developed by Josh Kotrous.
How long has Tome been around?
Tome first shipped in 2025.
Is Tome open source?
Basis unknown · not verified: Yes — Tome is open source under the Apache-2.0 license, developed on GitHub.

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