The Five Sectors
Episodic Memory
Events and experiences tied to specific times and contexts.Examples:
- “User visited Paris in summer 2024”
- “User completed onboarding yesterday”
- “User had a meeting with the sales team”
Semantic Memory
Facts, concepts, and general knowledge.Examples:
- “User prefers dark mode in all apps”
- “User works as a software engineer”
- “User’s company is based in Tokyo”
Procedural Memory
Skills, processes, and how-to knowledge.Examples:
- “User knows how to deploy Docker containers”
- “User is proficient in Python”
- “User follows a specific code review process”
Emotional Memory
Feelings, preferences, and emotional responses.Examples:
- “User feels frustrated with complex UIs”
- “User enjoys sci-fi movies”
- “User is excited about AI technology”
Reflective Memory
Insights, summaries, and self-knowledge.Examples:
- “User values privacy over convenience”
- “User prefers async communication”
- “User’s goal is to learn machine learning”
How Classification Works
When you create a memory:- Submit - Send content to API
- AI Analysis - GPT-4 analyzes the content
- Sector Assignment - Determines the most appropriate sector
- Importance Scoring - Calculates relevance (0-1)
- Storage - Saves with classification metadata
Using Sectors
Filter by Sector
Search with Sector Context
The search API automatically considers cognitive sectors when ranking results, giving you more relevant matches based on the type of information you’re looking for.Benefits
- Better Search - Sector context improves relevance
- Memory Organization - Natural categorization
- Insights - Understand what types of information you store most
- Filtering - Focus on specific memory types