docs: fix repository URLs from objectql/objectos to objectstack-ai/objectos, add version requirements

Co-authored-by: hotlong <50353452+hotlong@users.noreply.github.com>

Author: Copilot

CONTRIBUTING.md

@@ -7,7 +7,7 @@ Thank you for your interest in contributing to ObjectOS! This guide will help yo
 ObjectOS is the **runtime engine** that executes metadata defined in the ObjectQL format. It's part of a two-repository ecosystem:
 
 - **[objectql/objectql](https://github.com/objectstack-ai/objectql)**: The protocol definition and core drivers
-- **objectql/objectos** (this repo): The runtime implementation
+- **objectstack-ai/objectos** (this repo): The runtime implementation
 
 ## Project Structure
 
@@ -174,7 +174,7 @@ describe('ObjectOS.insert', () => {
 
 ```bash
 # Clone the repository
-git clone https://github.com/objectql/objectos.git
+git clone https://github.com/objectstack-ai/objectos.git
 cd objectos
 
 # Install dependencies
@@ -221,7 +221,7 @@ pnpm run lint  # (TODO: Add lint script)
 
 ### 1. Find an Issue
 
-- Check [GitHub Issues](https://github.com/objectql/objectos/issues)
+- Check [GitHub Issues](https://github.com/objectstack-ai/objectos/issues)
 - Look for labels: `good first issue`, `help wanted`
 - Comment on the issue to claim it
 

DEVELOPMENT_PLAN.md

@@ -726,8 +726,8 @@ The `api/index.ts` serverless handler mirrors the CLI serve bootstrap:
 ### Prerequisites
 
 - Node.js 22+ (LTS)
-- PostgreSQL or MongoDB (production) / SQLite (development)
-- Redis (for distributed caching & job queues)
+- PostgreSQL 14+ or MongoDB 6+ (production) / SQLite 3.x (development)
+- Redis 7+ (for distributed caching & job queues, optional for single-node)
 - PNPM 9.x
 
 ---
@@ -750,7 +750,7 @@ await objectql.loadMetadata('./objects/**/*.yml');
 
 ### With ObjectUI (View Layer — Separate Repository)
 
-ObjectUI (`github.com/objectql/objectui`) is an **independent control library** — similar to amis — that provides metadata-driven UI components:
+ObjectUI (`github.com/objectstack-ai/objectui`) is an **independent control library** — similar to amis — that provides metadata-driven UI components:
 
 - **Schema Renderer**: Dynamically renders Forms, Grids, Charts from ObjectStack UI protocol
 - **Plugin UI Loader**: Module Federation for plugin-contributed UI components
@@ -973,7 +973,7 @@ Keep Next.js only for `apps/site` (Fumadocs documentation framework dependency).
 
 ```
 ┌─────────────────────────────────────────────────────────────┐
-│  ObjectUI (Separate Repo: github.com/objectql/objectui)     │
+│  ObjectUI (Separate Repo: github.com/objectstack-ai/objectui)     │
 │  ├── Schema Renderer  → JSON → React Components             │
 │  ├── Control Library   → Form, Grid, Chart, Kanban, ...     │
 │  └── Plugin UI Loader → Module Federation for plugin UIs    │

README.md

@@ -139,7 +139,7 @@ ObjectUI (Controls)  →  apps/web (App Shell)  →  ObjectStack Hono (API)
 ### Installation
 
 ```bash
-git clone https://github.com/objectql/objectos.git
+git clone https://github.com/objectstack-ai/objectos.git
 cd objectos
 pnpm install
 ```
@@ -251,7 +251,7 @@ pnpm start
 - ✅ **Free for open source** AGPL-licensed projects
 - ⚠️ **Copyleft** — SaaS usage requires open-sourcing under AGPL or purchasing a commercial license
 
-**Commercial License:** [Contact us](https://github.com/objectql/objectos/issues)
+**Commercial License:** [Contact us](https://github.com/objectstack-ai/objectos/issues)
 
 ---
 

docs/guide/index.md

@@ -92,7 +92,7 @@ This separation means you can swap databases without changing business logic!
 
 ```bash
 # Clone the repository
-git clone https://github.com/objectql/objectos.git
+git clone https://github.com/objectstack-ai/objectos.git
 cd objectos
 
 # Install dependencies

docs/spec/index.md

@@ -59,7 +59,7 @@ Complete HTTP API reference including all REST endpoints, authentication, and re
 
 These specifications are living documents. If you find errors or omissions:
 
-1. Open an issue on [GitHub](https://github.com/objectql/objectos/issues)
+1. Open an issue on [GitHub](https://github.com/objectstack-ai/objectos/issues)
 2. Submit a pull request with corrections
 3. Discuss in our community forum (coming soon)