docs: audit and update README with latest GenAI tools and formatting fixes

[Chamath-Adithya]

This Pull Request audits, refactors, and enriches the primary README.md documentation to address minor syntax errors and introduce a highly valuable curated list of cutting-edge resources from the open-source Generative AI ecosystem.

These updates are designed to help developers bridging standard media pipelines with autonomous agentic architectures, local inference setups, and RAG pipelines.

Key Improvements

1. Link Syntax Fixes:

   • Corrected the relative Reddit URL link [Reddit](reddit.com/r/muapi) to an absolute HTTPS link [Reddit](https://reddit.com/r/muapi) to avoid internal path resolution errors in traditional markdown engines.
   • Cleaned up trailing spaces inside the related project link syntax for Open-AI-Design-Agent.

2. Featured Open-Source Generative AI Ecosystem:
   Introduced a highly requested, curated technical landscape section including:

   • Model Context Protocol (MCP) Servers: Guides developers to official and awesome directories, bridging multi-modal generation with agents (such as Claude Code, Cursor, and Cline).
   • Multi-Modal Vision-Language Models: Highlights standard vision reasoning frameworks like Qwen2-VL and LLaVA which represent state-of-the-art open models.
   • Agent Orchestration Frameworks: Includes links to CrewAI and LangGraph for orchestrating complex, multi-agent production loops.
   • Small Language Models (SLMs): Features local-friendly highly efficient models like Qwen 2.5 and Phi-3.5 (crucial since this repository provides local sd.cpp and Wan2GP runtime capabilities).
   • Educational Books & Learning Path: Lists Microsoft's highly structured Generative AI for Beginners course and the curated Awesome LLM Roadmap.

Verification & Consistency

• Visually reviewed using markdown render checks.
• All target repository URLs were cross-referenced to guarantee that they are fully active and point directly to their respective official projects.