Robert Allen

Subcog is a persistent memory system for AI coding assistants that captures and recalls context from coding sessions.

Recall past decisions and patterns to enhance current work with relevant memories.

Capture and persist decisions, learnings, and patterns across sessions.

Enhance AI prompts and skills with Subcog's memory integration.

Memory system custodian for health checks, validation, and maintenance.

A filesystem-based memory system for Claude Code, enabling efficient memory capture and recall.

Discovers entities in codebases using ontology patterns for enhanced memory capture.

Integrate mnemonic memory operations into Claude Code plugins seamlessly.

Facilitates ontology-based entity discovery and validation for mnemonic memories.

Re-index mnemonic memories for qmd semantic search after updates or imports.

MIF Level 3 specification and formatting guidelines for memory templates.

Set up @tobilu/qmd for semantic search over mnemonic memories with ease.

Autonomous agent for memory maintenance, conflict detection, and deduplication.

Configure Claude for proactive mnemonic memory behavior without user intervention

Capture and recall important memories using trigger phrases.

Haiku-based agent for compressing verbose memories into concise summaries.

Facilitates cross-session handoff and persistent context for agent coordination.

This skill should be used when the user says "search memories", "find in memories", "grep mnemonic", "look for memory", "deep search", "synthesize knowledge", or asks questions like "what do we know about X". Provides progressive disclosure and enhanced iterative search with synthesis.

Efficient memory search agent for iterative query refinement using targeted searches.