- Moved scattered scripts, templates, and documentation into organized directories (applications/, scripts/, assets/). - Updated .gitignore to strictly exclude secrets, state files, and IDE configs. - Added comprehensive README.md outlining repository structure and best practices. - Preserved all existing documentation and technical architecture files. - Prepared infrastructure/ for AWS Org and Proxmox Terraform management.
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03 - AI AGENTS & LEARNING — Home
Purpose: AI agent frameworks, learning resources, and implementation guides.
Contents
01 - Claude Code & Opencode — Agent framework tutorials and best practices.
02 - OpenClaw Framework — Open-source agent orchestration platform setup and usage.
03 - MCP (Model Context Protocol) — Integration guides for connecting LLMs to external tools and data sources.
04 - Autonomous AI Agents — Research and implementation of autonomous agent workflows.
05 - Agent Research & Learning — Papers, YouTube tutorials, podcasts, and general learning resources.
This section pairs conceptual guides with their implementation scripts for rapid prototyping and deployment.