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v3.12.1 Stable
released this
2026-03-30 11:59:51 +00:00 | 124 commits to main since this releaseWhat's new
Performance optimisations (v3.12.0)
- Briefing: 3 episodic scans consolidated into 1 — stale memories, contradiction warnings, and reinstate candidates collected in a single pass. Reduces session-start latency by ~200-400ms per 1,000 memories
- Dashboard: single-pass scan — state counts and recent memories in one loop per namespace instead of two
- Memories page: projects extracted during same scan — removed separate re-scan of all namespaces
- Metrics endpoint: 60-second cache —
/metricsno longer re-scans all memories on every Prometheus scrape. Configurable viaMETRICS_CACHE_TTL - Docker: multi-stage builds — all three Dockerfiles use a builder stage with gcc/g++ and slim runtime with only libgomp1/libopenblas0. Removes ~300-500MB from final images
- Maintenance: pairwise comparison cap — capped at 2,000 comparisons (was unbounded O(n^2))
- Dedup: max_similarity tracked during union-find — eliminates redundant re-scan
- RSS worker: configurable connection pool —
VALKEY_MAX_CONNECTIONSenv var (default 50)
Bug fix (v3.12.1)
- Auto-maintenance contradiction scanner producing mass false positives: The heuristic negation check was running on all pairwise combinations without semantic similarity filtering. Memories containing common words like "use", "with", or "works" matched against almost everything, producing 100+ false positives per briefing. Now embeds content and requires cosine similarity >= 0.5 before checking negation patterns, matching the Tier 1 approach used in
remember(). Results capped at 10 per maintenance run
Also included (v3.11.0–v3.11.1)
- Real tool call telemetry via FastMCP middleware — records call count, duration, response size per tool to Valkey
- Token overhead page shows measured averages from actual usage since uptime
- Prometheus gauges for
omnimem_tool_calls_totalandomnimem_tool_errors_total - Token Overhead link moved after Refresh button on Telemetry page (#8)
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