memory-recall

Memory Recall Skill

Automatically recalls relevant memories from the git-backed memory system to provide historical context during conversations.

Purpose

This skill bridges the gap between conversations by surfacing relevant decisions, learnings, context, and patterns stored in the git notes memory system. It helps maintain continuity across sessions and prevents re-solving problems that have already been addressed.

When This Skill Activates

Direct Triggers

• Questions about past work: "what did we decide about...", "how did we handle...", "why did we choose..."
• Explicit recall requests: "recall", "remember when", "previously", "last time"
• Decision inquiries: "what was the reasoning", "why are we using..."

Contextual Triggers

• Starting work on a feature that has related memories
• Encountering errors similar to previously resolved issues
• Discussing topics with high relevance scores to stored memories
• Beginning tasks where historical context would be valuable

Core Workflow

Step 1: Context Extraction

Extract key concepts from the current conversation:

from git_notes_memory import get_recall_service

recall = get_recall_service()

# Extract concepts from recent messages
concepts = extract_concepts(conversation_context)
# Examples: file names, function names, error messages, technology terms

Step 2: Memory Search

Perform semantic search across namespaces:

python3 -c "
from git_notes_memory import get_recall_service

recall = get_recall_service()
results = recall.search(
    query='''$EXTRACTED_CONCEPTS''',
    k=5,
    min_similarity=0.7  # Only high-relevance results
)

for r in results:
    print(f'{r.memory.namespace}: {r.memory.summary} (score: {r.similarity:.2f})')
"

Step 3: Format Results

Present memories in a non-intrusive summary:

**Relevant Memories Found** (3 matches)

1. **Decisions** (0.92 relevance): Use PostgreSQL for JSONB support
2. **Learnings** (0.85 relevance): Connection pooling prevents timeouts
3. **Progress** (0.78 relevance): Database schema in migrations/

_Use `/memory:recall` for more details or `/memory:search` for custom queries._