Memory Lookup

You have a semantic memory system stored in data/memories.parquet. Use this skill to search your memories when you need context.

When to use this

Use this proactively when:

• •user mentions a topic you might have stored info about
• •you need to recall preferences, past decisions, project details
• •user references something from the past
• •context would help you give a better response

How to search

Run a Python script to search memories:

uv run python -c "
from jarvis.memory import MemoryManager
m = MemoryManager()
results = m.search('YOUR_QUERY_HERE')
for r in results:
    print(f\"[{r['similarity']:.2f}] {r['created_at'][:10]}\")
    print(r['content'])
    print('---')
"

Replace YOUR_QUERY_HERE with your search query. Be specific - the semantic search works better with detailed queries.

Settings

Default: threshold=0.3, always returns at least 3 results (top matches even if below threshold).

results = m.search('query', threshold=0.4)  # stricter matching
results = m.search('query', min_results=5)  # more fallback results

Output

Returns memories with:

• •similarity score (0-1)
• •created date
• •full content

Use the content to inform your response. Don't mention the lookup mechanics to the user - just naturally incorporate the context.