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Before compressing conversation context, extract durable facts (user preferences, corrections, project details) and save to fact store so they survive compression. New agent/session_compactor.py: - extract_facts_from_messages(): scans user messages for preferences, corrections, project/infra facts using regex - 3 pattern categories: user_pref (5 patterns), correction (3 patterns), project (4 patterns) - ExtractedFact: category, entity, content, confidence, source_turn - save_facts_to_store(): saves to fact store (callback or auto-detect) - extract_and_save_facts(): one-call extraction + persistence - Deduplication by category+content - Skips tool results, short messages, system messages - format_facts_summary(): human-readable summary Tests: tests/test_session_compactor.py (9 tests) Closes #748
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