New table memory_merge_candidates + service functions to cluster
near-duplicate active memories within (project, memory_type) buckets,
draft a unified content via LLM, and merge on human approval. Source
memories become superseded (never deleted); merged memory carries
union of tags, max of confidence, sum of reference_count.
- schema migration for memory_merge_candidates
- atocore.memory.similarity: cosine + transitive clustering
- atocore.memory._dedup_prompt: stdlib-only LLM prompt preserving every specific
- service: merge_memories / create_merge_candidate / get_merge_candidates / reject_merge_candidate
- scripts/memory_dedup.py: host-side detector (HTTP-only, idempotent)
- 5 API endpoints under /admin/memory/merge-candidates* + /admin/memory/dedup-scan
- triage UI: purple "🔗 Merge Candidates" section + "🔗 Scan for duplicates" bar
- batch-extract.sh Step B3 (0.90 daily, 0.85 Sundays)
- deploy/dalidou/dedup-watcher.sh for UI-triggered scans
- 21 new tests (374 → 395)
- docs/PHASE-7-MEMORY-CONSOLIDATION.md covering 7A-7H roadmap
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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