This release adds 3 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
ReleasePort's take
Light signalv1.1.14 adds eval command to analyze knowledge base quality, duplication, and staleness metrics. Includes auto-archiving lifecycle features and semantic deduplication.
Why it matters: Developers can now monitor knowledge base degradation, auto-archive stale entries, and deduplicate semantically. Test eval command in dev before adopting lifecycle automation.
Summary
AI summaryAdded an eval command for knowledge‑base quality metrics.
Changes in this release
| Type | Severity | Summary | CVE |
|---|---|---|---|
| Feature | Medium |
add eval command to analyze knowledge base quality, duplication, and staleness metrics add eval command to analyze knowledge base quality, duplication, and staleness metrics Source: llm_adapter@2026-05-21 Confidence: low |
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| Feature | Medium |
implement auto-archiving lifecycle feature, tune memory decay rates, and enhance evaluation reporting implement auto-archiving lifecycle feature, tune memory decay rates, and enhance evaluation reporting Source: llm_adapter@2026-05-21 Confidence: low |
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| Feature | Medium |
implement semantic deduplication using vector similarity in ContentDedup implement semantic deduplication using vector similarity in ContentDedup Source: llm_adapter@2026-05-21 Confidence: low |
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| Refactor | Low |
remove benchmark build tags, consolidate test helpers, and add dynamic log path configuration remove benchmark build tags, consolidate test helpers, and add dynamic log path configuration Source: granite4.1:30b@2026-05-24-audit Confidence: low |
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Full changelog
Changelog
- e0ff098846ad0836d35c8123a8baa124f95aee9b feat: add eval command to analyze knowledge base quality, duplication, and staleness metrics
- a11c3507813822ba9f4d7b095d13d86722428044 feat: implement auto-archiving lifecycle feature, tune memory decay rates, and enhance evaluation reporting
- 1d91378215ce806ba4e318b0d3f1486dc027a446 feat: implement semantic deduplication using vector similarity in ContentDedup
- 5b73e39f280ba21c258cb4ce084ec1bc52c9fe89 refactor: remove benchmark build tags, consolidate test helpers, and add dynamic log path configuration
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About s60yucca/mnemos
Persistent memory engine for AI coding agents. Stores architecture decisions, bug root causes, and project conventions across sessions. Single Go binary with embedded SQLite, FTS5 search, context assembly within token budgets, and autopilot setup for Claude Code, Kiro, and Cursor.
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