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The conversation memory file grows forever (every chat appends a user+assistant pair), so startup load gets slower and the disk fills. New always-loaded cog lore_commands turns that growth into content: a background task summarises the oldest slice into one in-character "legend" via the ACTIVE AI backend, replaces those old messages with the summary (bounding the file, keeping continuity for the next startup's context), archives it to legendy.json, and announces it on Safety: the compaction transforms (build_transcript, apply_compaction) are pure and unit-tested. The file rewrite is re-read -> back up -> atomic write with no await in between, so a handle_response append that lands while the summary is being generated can neither be lost (it's in the preserved tail) nor corrupt the file (single-threaded, no interleave). A .bak is kept. Scope note: this bounds the on-disk file (startup/disk); the in-RAM MESSAGE_TABLE is a separate concern left untouched to avoid yanking context from a live conversation. Commands: $zapisz_legende (Vykidailo) forces a compaction now; $legendy recalls a random past legend. All thresholds env-overridable (CONJURER_MEMORY_COMPACT_*, CONJURER_LEGENDS_CHANNEL). constants gains LEGENDS_FILE + config + seed; bot.py registers the cog. Verified: tests/unit/test_lore_commands.py covers prefix-replace/tail-keep, preservation of appends made during summarisation, and transcript formatting + head/tail truncation. Unit job 32 passed. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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