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Mortdecai 3c1cbfce39 Shared player memory system + 39 training examples
Memory system (agent/tools/player_memory.py):
- Per-server JSON with owner tagging, cross-player references
- Location, preference, fact memory types
- Thread-safe, 50/player 500/server limits
- format_memory_context() injected into LLM prompts

Model output wired (mc_aigod_paper.py):
- memory_write processed → saves to JSON, confirms in chat
- memory_read processed → displays results in chat
- Memory context injected into prayer prompts

39 training examples:
- 7 location saves ("remember this as home")
- 7 location recalls + tp ("tp me home", cross-player)
- 5 memory queries ("what do you know about me")
- 3 memory deletes
- 4 preferences ("I prefer diamond tools")
- 4 facts ("I am building a castle")
- 4 memory-informed commands (give tools for current project)
- 5 edge cases (no memory found, server-wide, overwrite)

Seed dataset: 3,175 examples

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-20 23:37:32 -04:00
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