When should I use the curation workflow?

You should use it whenever you are creating new memories, making architectural decisions, or refactoring code that has been previously documented in your memory bank.

What is the primary benefit of the Memory Curation skill?

It prevents 'context pollution' by ensuring your AI's long-term memory doesn't contain outdated, redundant, or contradictory information that could lead to errors.

Does it link memories automatically?

While Forgetful MCP provides semantic auto-linking, this skill allows for manual, explicit linking of conceptual or cross-project relationships that automated systems might miss.

How does it handle obsolete information?

It uses a soft-delete mechanism via the mark_memory_obsolete tool, which hides outdated memories from search results while preserving them for auditing.

Memory Curation Manager

Name: Memory Curation Manager
Author: ScottRBK

byScottRBK

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Productivity & Workflow

Maintains a clean and accurate long-term knowledge base by deduplicating, updating, and linking AI-stored memories.

About

The Memory Curation Manager skill provides a structured framework for managing persistent context within the Forgetful MCP ecosystem. It ensures that Claude's long-term memory remains high-quality by facilitating the identification of outdated information, marking superseded decisions as obsolete, and establishing semantic connections between related concepts. By actively pruning and connecting memories, it prevents context pollution and improves the retrieval of accurate technical information during complex development tasks.

Key Features

Semantic conflict resolution for contradictory information
Refinement tools for memory importance and relevance levels
Soft-deletion of obsolete memories to prevent context pollution
Intelligent deduplication through pre-creation similarity checks
Bidirectional manual linking to build structured knowledge graphs
9 GitHub stars

Use Cases

Updating project architecture decisions when a technology stack or pattern changes
Cleaning up redundant snippets or patterns after a major codebase refactor
Linking disparate documentation and design decisions across multiple project repositories

About

Key Features

Semantic conflict resolution for contradictory information
Refinement tools for memory importance and relevance levels
Soft-deletion of obsolete memories to prevent context pollution
Intelligent deduplication through pre-creation similarity checks
Bidirectional manual linking to build structured knowledge graphs
9 GitHub stars

Use Cases

Updating project architecture decisions when a technology stack or pattern changes
Cleaning up redundant snippets or patterns after a major codebase refactor
Linking disparate documentation and design decisions across multiple project repositories