AI-Native Development

ObjectQL resides at the intersection of Data and Artificial Intelligence. It is designed to be "AI-Native" in two distinct ways:

1. For AI Agents: It serves as the perfect structured memory system (Long-term Memory) and tool interface for AI agents.
2. By AI Agents: Its metadata-driven, protocol-first architecture makes it incredibly easy for LLMs to write valid code for it.

Overview

🏗️ Building AI Apps

Learn how to use ObjectQL as the data engine for your RAG (Retrieval-Augmented Generation) applications, semantic search, and AI agents.

• Semantic Search & RAG
• Vector Database Features
• Agent Tooling

Read Guide →

🤖 AI Coding Assistant

Learn how to configure GitHub Copilot, Cursor, or Windsurf to become an expert ObjectQL developer. We provide specialized System Prompts that teach the LLM our protocol.

• Standard System Prompt
• IDE Configuration

Get Prompts →