Memory Types

Overview

Orma Network supports various types of digital memories, each designed to capture and preserve different kinds of information. This guide explains the currently supported memory types and provides insights into future implementations.

Memory Structure

Every memory in Orma Network contains:

• A unique identifier
• Creation timestamp
• Type classification
• Source information
• Content
• Validation status
• Quality metrics

V1: Web Memories

Articles and Blog Posts

Articles and blog posts form the foundation of web memories. These include news articles, blog entries, and online publications.

Key Components:

• Title and author information
• Main content body
• Publication date
• Images and captions
• References and citations
• Reading time estimate
• Source domain

Validation Process:

• Content quality assessment
• Source credibility check
• Duplicate detection
• Reference verification

Documentation Pages

Documentation memories preserve technical knowledge, API references, and user guides.

Key Components:

• Technical content
• Code examples
• API endpoints
• Version information
• Framework details

Validation Process:

• Technical accuracy verification
• Code syntax checking
• Version consistency
• Link validation

Research Papers

Research papers capture academic and scientific knowledge in a structured format.

Key Components:

• Title and authors
• Abstract
• Methodology
• Results
• Citations
• DOI reference
• Institution details

Validation Process:

• Academic source verification
• Citation network validation
• Content structure verification
• Research field classification

Code Snippets

Code snippets preserve programming knowledge and implementation examples.

Key Components:

• Source code
• Programming language
• Usage explanation
• Dependencies
• Runtime requirements
• License information

Validation Process:

• Syntax verification
• License validation
• Security assessment
• Best practices check

Memory Processing

Each memory goes through three main stages:

1. Content Extraction

   • Identifying relevant content
   • Removing unnecessary elements
   • Preserving important formatting
   • Extracting metadata

2. Validation

   • Quality assessment
   • Authenticity verification
   • Duplicate checking
   • Source validation

3. Storage Preparation

   • Content optimization
   • Vector generation
   • Metadata enrichment
   • Storage formatting

Future Memory Types

Audio Memories (Planned)

Audio memories will capture spoken content, discussions, and audio-based information.

Planned Features:

• Voice transcription
• Speaker identification
• Topic segmentation
• Key point extraction
• Timestamp mapping

Video Memories (Planned)

Video memories will preserve visual and educational content.

Planned Features:

• Video transcription
• Chapter markers
• Key frame extraction
• Visual content analysis
• Temporal segmentation

Best Practices

1. Memory Creation

   • Provide complete source information
   • Include relevant context
   • Verify content accuracy
   • Use appropriate memory types

2. Content Quality

   • Ensure content clarity
   • Maintain original formatting
   • Include necessary context
   • Preserve references

3. Memory Organization

   • Use descriptive titles
   • Add relevant tags
   • Include category information
   • Maintain proper attribution

Guidelines for Memory Types

When to Use Each Type

Articles and Blog Posts:

• News content
• Opinion pieces
• Tutorial articles
• Analysis posts

Documentation:

• Technical guides
• API documentation
• User manuals
• Framework guides

Research Papers:

• Academic publications
• Scientific studies
• Research findings
• Technical papers

Code Snippets:

• Programming examples
• Implementation guides
• Function definitions
• Configuration samples