v0.9.0 — Production Hardening

v0.9.0 — Robustness, Smart Memory, Production Hardening

v0.7.0 — Robustness & Quality Guard

• Circuit breaker for embedding API (EmbeddingCircuitBreaker in embeddings.py)
• Priority-based search filter (min_priority param on qdrant_search)
• Memory evolution tracking (evolved_from field on qdrant_remember)
• Backfill tool (qdrant_backfill — batch update missing fields on legacy points)
• Quick consolidation mode (skip O(n²) dedup, stats only)

v0.8.0 — Smart Memory

• Topic clustering (new clustering.py + qdrant_topics tool)
• Auto-extract key facts at session end (smart filtering, priority=4)
• Smart prefetch (skip embedding call on short conversations <3 turns)
• Dedup quality score (completeness-based — keep richer memory)

v0.9.0 — Production Hardening

• Numpy batch cosine similarity (with pure-Python fallback)
• Incremental consolidation (track last run via metadata point)
• Memory lifecycle (auto_stale + auto_prune, disabled by default)
• Cross-session context bridge (first-turn priority memory injection)
• Config validation with range checks and fallback defaults

Bug Fixes (from v0.6.2)

• Hook double-fire dedup guard (Hermes dual-path instantiation)
• Dynamic VERSION read in system prompt
• warnings.filterwarnings() instead of broken simplefilter()
• Stale detection: priority field with importance backward compat
• Consolidation metadata uses valid UUID (not string)

Stats

• 8 tools: profile, search, remember, forget, index, consolidate, backfill, topics
• Codebase: 2,579 → 3,927 lines (+1,348)
• Test: 25/25 scenarios pass (remember, dedup, min_priority, backfill, consolidation, clustering, forget, edge cases, incremental, profile, tags, stats)