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Implements issue #195 — harvest Q&A pairs, decisions, patterns, preferences, and error-fix links from Hermes session JSONL transcripts without LLM. - scripts/transcript_harvester.py: standalone extraction script using regex pattern matching over message sequences. Handles 5 categories: * qa_pair — user questions ending in ? followed by assistant answers * decision — explicit choice statements ("I'll use", "we decided", "let's") * pattern — procedural knowledge ("Here's the process", "steps to") * preference — personal or team inclinations ("I prefer", "Alexander always") * error_fix — error statement followed by fix action within 8 messages - knowledge/transcripts/: output directory for harvested knowledge - Transcript JSON contains all entries with session_id, timestamps, type - Report (transcript_report.md) gives category counts and sample entries Validation: - Tested on test_sessions/ (5 files): extracted 24 entries across all 5 categories (qa=9, decision=2, pattern=10, preference=1, error_fix=2) - Ran batch against 50 most recent ~/.hermes/sessions: extracted 1034 entries (qa=39, decision=11, pattern=252, preference=22, error_fix=710) demonstrating real-world extraction scale. Closes #195