Main interactive hub for exploring the AMRHZ ecosystem, connecting AI systems, projects, and interfaces in one place.

• Official website (AMRHZ INDEPENDENT DIGITAL SPACE) :https://amrhz-websites.amirulhafiz1132002.workers.dev/
• Lovable App (Main interactive hub): https://preview--ap1-ecosystem.lovable.app/
• GitHub (Engineering / source): https://github.com/amirulhafiz1132002-code

A personal AI agent prototype that represents the AMRHZ identity; includes training scripts, a CSV-based memory, and a simple Flask API for running and interacting with the agent.
→ https://github.com/amirulhafiz1132002-code/AMRHZ-AI-13

The web console and dashboard for AP1 (Auto AI Builder): contains a JavaScript frontend, Python backend pipelines, a dedicated memory layer, and telemetry/administration pages.
→ https://github.com/amirulhafiz1132002-code/AP1-WEB-Console

Reference architecture and patterns for human–AI collaboration; documents core components, integration points, and architecture layers used across AMRHZ projects.
→ https://github.com/amirulhafiz1132002-code/amrhz-architecture-core

AP1 Ecosystem repository (private). This TypeScript-based workspace supports the broader AP1 platform—explore the live Lovable app for the public experience.
→ Live App: https://preview--ap1-ecosystem.lovable.app/ · Repository (private): https://github.com/amirulhafiz1132002-code/ap1-ecosystem

• Lovable App — https://preview--ap1-ecosystem.lovable.app/ (primary interactive experience)
• GitHub system core — https://github.com/amirulhafiz1132002-code

An evolving, developer-first AI ecosystem focused on:

• Multi-LLM orchestration and multi-agent systems
• RAG (retrieval-augmented generation) + memory layers
• Real-time execution and observability via dashboards
• Modular, testable components

User ↓ AMRHZ Central Hub (Lovable App) ↓ AP1 / Interfaces (AP1-WEB-Console, web views) ↓ AI System / Orchestration (AMRHZ core components) ↓ LLM / Agents / RAG / Memory ↓ Execution / Dashboard

(Concept diagram placeholder — product will continue to evolve)

• Modular architecture — core components separated into focused repos
• Testing & quality — frontend uses Create React App conventions and test scripts
• CI / Deployment — GitHub Pages is used for AP1-WEB-Console
• Documentation — repository READMEs and in-repo docs provide onboarding and run instructions
• Security hygiene — standard repository settings, commit signoff enabled

• Multi-Agent AI Systems
• RAG + Memory
• System Orchestration
• AP1 / AI Dashboard
• Public AI Ecosystem

Frontend: HTML, CSS, JavaScript, React (Create React App)
Backend: Node.js, Python
AI / LLM: OpenAI, Google Gemini
Architecture: Modular components, TypeScript in ecosystem repos
Future / Research: Autonomous agents, memory systems, orchestration patterns

git clone https://github.com/amirulhafiz1132002-code/AMRHZ-AI-13
cd AMRHZ-AI-13
python app.py