Concepts

Concepts are the generalized knowledge that emerges from consolidation. They're the persistent, meaningful output of Remind's memory system — what episodes become after the LLM "sleeps on" them.

Structure

Each concept has:

Field	Description
id	Unique identifier
title	Short descriptive title
summary	Natural language description of the generalized knowledge
confidence	How certain (0.0–1.0), based on supporting evidence
instance_count	How many episodes support this concept
relations	Typed edges to other concepts
conditions	When/where this concept applies
exceptions	Known cases where it doesn't hold
source_episodes	Episode IDs this was derived from
embedding	Dense vector for similarity retrieval
tags	Searchable tags
decay_factor	Retrieval priority weight (affected by memory decay)

How concepts differ from episodes

	Episodes	Concepts
Nature	Specific, raw	Generalized, processed
Created by	remember()	Consolidation (LLM)
Lifespan	Temporary (consumed)	Persistent
Structure	Plain text + type	Text + confidence + relations + conditions
Retrieval	Not directly queried	Primary retrieval target

Concept quality

Good concepts are:

• Generalized — Not just restating a single episode, but abstracting across multiple
• Conditional — Stating when they apply, not claiming universal truth
• Connected — Linked to related concepts via typed relations
• Grounded — Traceable back to source episodes

Managing concepts

# List all concepts
remind inspect

# View a specific concept with details
remind inspect <concept-id>

# Update a concept's summary
remind update-concept <id> -s "Refined understanding"

# Update confidence
remind update-concept <id> --confidence 0.9

# Soft delete
remind delete-concept <id>

# Restore
remind restore-concept <id>

TIP

Updating a concept's summary clears its embedding vector. The embedding is regenerated on the next recall query.