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Memory Systems

Context memory across report sections ensures consistency, prevents repetition, and maintains coherent narratives in AI-generated content.

What is Memory?#

Memory Systems in PromptReports provide contextual continuity across multi-section report generation. When generating long-form content, the AI extracts and stores key information from each section, making it available when generating subsequent sections. This prevents contradictions, avoids repetition, and ensures a coherent narrative throughout the report.

Contextual Continuity

Information flows between sections for consistent, connected content.

Contradiction Prevention

The AI remembers previous statements to avoid conflicting information.

Repetition Avoidance

Previously covered topics are tracked to prevent redundant content.

Coherent Narratives

Build on earlier concepts for natural flow and progression.

Memory Types#

The system categorizes extracted information into different types based on their nature:

TypeDescriptionExamples
EntityNamed things: people, companies, products, locations"Acme Corp", "John Smith", "Product X"
FactSpecific claims or data points"Revenue grew 25%", "Founded in 2015"
TerminologyDomain-specific terms and definitions"AI agents", "Market segmentation"
ReferenceSources, citations, and cross-references"According to the 2023 report", "See Section 2"

Each memory item also has an importance score that helps the system prioritize what context to include when generating new content, especially when dealing with token limits.

How Memory Works#

Memory operates in a continuous cycle during report generation:

1

Section Generation

The AI generates content for a report section using the prompt and any existing memory.
2

Extraction

Key entities, facts, terminology, and references are automatically extracted from the generated content.
3

Storage

Extracted items are stored in the execution context with metadata including type, importance, and source section.
4

Retrieval

When generating the next section, relevant memories are retrieved and included in the context.
5

Continuity

The AI uses retrieved memories to maintain consistency and avoid repetition.

Execution Contexts#

Each report generation creates an execution context that stores memories for that specific run. You can view and manage these contexts from the Memory Systems page.

Context Isolation

Each report has its own memory context, preventing cross-contamination.

Persistent Storage

Memories persist for the duration of the report generation process.

Fast Retrieval

Optimized storage enables quick access to relevant memories.

Easy Cleanup

Clear memories for a context when no longer needed.

Managing Memory#

The Memory Systems page provides tools to view and manage execution contexts:

ActionDescription
View MemoriesBrowse all stored memories for an execution context
Filter by TypeFocus on specific memory types (entities, facts, etc.)
See ImportanceReview the importance scores assigned to each memory
RefreshReload the latest memories for the current context
Clear AllDelete all memories for a specific execution context

Pro Tips#

Memory Systems are a key differentiator for generating long-form, professional reports. They ensure that your 10-page report reads like a cohesive document rather than disconnected sections stitched together.