ObjectQLOne Protocol, Any Database, AI-Ready

A universal data query engine for the modern stack. Write your logic once in JSON-DSL, run it seamlessly on MongoDB or PostgreSQL.

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🚀

Dual-Stack Engine

Native performance for schema-less MongoDB and first-class support for PostgreSQL, MySQL, and SQLite with a unique "Core Columns + JSONB" strategy.

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AI-Native Protocol

Queries defined as standardized JSON ASTs, optimized for LLMs to understand schema and generate accurate, safe business logic without hallucinating SQL syntax.

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Modern & Lightweight

Written in 100% TypeScript with zero heavy legacy dependencies. Promise-based asynchronous API with no runtime requirements beyond Node.js.

🔌

Pluggable Architecture

Core logic completely decoupled from storage drivers. Easily extensible to support other data sources like REST APIs, GraphQL, or additional SQL/NoSQL databases.

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Comprehensive Documentation

Detailed guides for developers and comprehensive protocol specifications for system integrators and driver contributors.

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Production Ready

Built-in security features, transaction support, and optimized queries for both development flexibility and production reliability.

Documentation Overview

We have organized the documentation into three main categories:

User & Developer Guide

Target Audience: Application Developers, Customer Success, End Users.

Learn how to build applications using ObjectQL:

Data modeling (Objects, Fields, Relationships)
Writing business logic (Hooks, Actions)
Using the Node.js SDK
Security configuration

Protocol Specifications

Target Audience: System Architects, Driver Contributors, Integrators.

Understand the low-level protocols:

Metadata File Format Specification (YAML/JSON schema)
Unified Query Language Protocol
HTTP API Reference

Airtable Functionality Roadmap 🆕

Target Audience: Project Managers, Product Managers, Development Teams.

Comprehensive resources for implementing Airtable-like functionality:

Comprehensive evaluation of gaps between ObjectQL and Airtable (Chinese)
Detailed implementation roadmap with 6 development phases (English)
GitHub Issues templates for task creation
Resource requirements, timeline estimates, and risk assessment
Technical design proposals for multi-view system, collaboration, and automation