v0.2.0: Hybrid Search & Importance Scoring

Highlights

This release introduces hybrid search and importance scoring, giving you more powerful ways to find
and prioritize memories.

New Features

Hybrid Search (memory_hybrid_search)

Combines keyword (full-text) and semantic (vector) search using Reciprocal Rank Fusion (RRF) for better
results than either method alone.

memory_hybrid_search(
    query="authentication flow",
    semantic_weight=0.6,  # 60% semantic, 40% keyword
    top_k=10
)

Importance Scoring System

Memories now have dynamic importance scores calculated from:
- Base importance (default 1.0, manually adjustable)
- Recency decay (exponential, 30-day half-life)
- Access frequency (logarithmic boost from usage)

New database columns: importance, last_accessed, access_count

Memory Boost (memory_boost)

Manually increase a memory's importance to make it rank higher:

memory_boost(memory_id=42, boost_amount=0.5)  # small=0.25, medium=0.5, large=1.0

Sort by Importance

memory_list now accepts sort_by_importance=True to order results by calculated importance score instead of
date.

Improvements

- Hierarchy paths now included in memory results (hierarchy_path field)
- Cloud DB examples added to README (S3/R2/GCS/Azure configuration)
- Portable paths - configuration examples now use $HOME instead of hardcoded paths

Upgrading

The schema migration is automatic. On first run, new columns (importance, last_accessed, access_count) will
 be added to existing databases with sensible defaults.

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Full Changelog: https://github.com/spokV/memory-mcp/compare/0.1.1...v0.2.0