Research Knowledge Base

A comprehensive repository for deep research, experimentation, and knowledge management.

Overview

This repository serves as a centralized knowledge base for research activities, experimental code, documentation, and findings. It's designed to support systematic research workflows and knowledge preservation.

Repository Structure

research/
├── vault/                  # Complete PKM System (PARA Method)
│   ├── 00-inbox/          # Capture zone for incoming information
│   ├── 02-projects/       # Active projects with deadlines
│   │   └── 01-pkm-system-meta/  # Central project coordination
│   ├── 03-areas/          # Ongoing life areas and responsibilities
│   ├── 04-resources/      # All reference materials and specifications
│   │   ├── architecture/   # System architecture and specifications
│   │   ├── frameworks/     # Analysis frameworks and methodologies
│   │   ├── concepts/       # Core concepts and definitions
│   │   └── examples/       # Examples and templates
│   ├── 05-archives/       # Completed and inactive items
│   ├── permanent/         # Zettelkasten atomic notes
│   └── daily/             # Daily notes and logs
├── scripts/               # Automation and utility scripts
├── src/                   # Source code for PKM system
├── tests/                 # Comprehensive testing framework
└── .claude/               # Claude Code integration and agents

PKM Workflow

1. Capture: All information starts in vault/00-inbox/
2. Process: Content is organized using PARA method (Projects, Areas, Resources, Archives)
3. Connect: Create atomic notes in vault/permanent/ with bidirectional links
4. Create: Generate insights and synthesis in organized vault structure
5. Review: Regular processing and maintenance of knowledge system

Getting Started

1. Clone the repository
2. Navigate to the relevant section based on your research needs
3. Follow the README files in each directory for specific guidance
4. Use the established templates for consistent documentation

Contributing

• Follow established directory structure
• Document all experiments and findings
• Use clear, descriptive naming conventions
• Reference related work and sources

Research Standards

• Reproducibility: All experiments should be reproducible
• Documentation: Comprehensive documentation of methods and results
• Version Control: Track changes to experiments and findings
• Validation: Peer review and validation of significant findings