curating-memories

name	curating-memories
description	Guidance for maintaining memory quality through curation. Covers updating outdated memories, marking obsolete content, and linking related knowledge. Use when memories need modification, when new information supersedes old, or when building knowledge graph connections.
allowed-tools	mcp__forgetful__discover_forgetful_tools, mcp__forgetful__how_to_use_forgetful_tool, mcp__forgetful__execute_forgetful_tool

Curating Memories

Active curation keeps the knowledge base accurate and connected. Outdated memories pollute search results and reduce effectiveness.

When to Update a Memory

Use update_memory when:

• Information needs correction or clarification
• Importance level changes (more/less relevant than thought)
• Content needs refinement
• Links to projects/artifacts/documents change

execute_forgetful_tool("update_memory", {
  "memory_id": <id>,
  "content": "Updated content...",
  "importance": 8
})

Only specified fields are changed (PATCH semantics).

When to Mark Obsolete

Use mark_memory_obsolete when:

• Memory is outdated or contradicted by newer information
• Decision has been reversed or superseded
• Referenced code/feature no longer exists
• Memory was created in error

execute_forgetful_tool("mark_memory_obsolete", {
  "memory_id": <id>,
  "reason": "Superseded by new architecture decision",
  "superseded_by": <new_memory_id>  // optional
})

Obsolete memories are soft-deleted (preserved for audit, hidden from queries).

When to Link Memories

Use link_memories when:

• Concepts are related but not caught by auto-linking
• Building explicit knowledge graph structure
• Connecting decisions to their implementations
• Relating patterns across projects

execute_forgetful_tool("link_memories", {
  "memory_id": <source_id>,
  "related_ids": [<target_id_1>, <target_id_2>]
})

Links are bidirectional (A↔B created automatically).

Curation Workflow

When creating new memories, check impact on existing knowledge:

Step 1: Query Related Memories

execute_forgetful_tool("query_memory", {
  "query": "<topic of new memory>",
  "query_context": "Checking for memories that may need curation",
  "k": 5
})

Step 2: Analyze Each Result

For each existing memory, determine action:

Situation	Action
Existing memory is still accurate	Link to it
Existing memory has minor gaps	Update it
Existing memory is now wrong	Mark obsolete, create new
Existing memory is partially valid	Create new, link both

Step 3: Execute Curation Plan

Present plan to user before executing:

Curation plan:
- Create: "New authentication approach" (importance: 8)
- Mark obsolete: #42 "Old auth pattern" (superseded)
- Link: New memory ↔ #38 "Security requirements"

Proceed? (y/n)

Step 4: Execute and Report

After user confirms:

1. Create new memory
2. Mark obsolete memories
3. Create links
4. Report results with all changes made

Signs of Poor Curation

Watch for these indicators:

• Multiple similar memories on same topic (deduplicate)
• Memories referencing deleted code (mark obsolete)
• Contradictory memories (resolve conflict)
• Low-importance memories (importance < 6) accumulating
• Orphaned memories with no links (consider linking or removing)

Auto-Linking

Forgetful auto-links semantically similar memories (similarity >= 0.7) during creation. Manual linking is for:

• Explicit relationships auto-linking missed
• Cross-project connections
• Non-obvious conceptual links

Check similar_memories in create response to see what was auto-linked.