Publish Release

v0.5.1 - Long-term memory fixes

Bug fixes

• memory recall failed to find obvious entries on natural-language queries. The search used a plain LIKE
  '%query%', so a query like "user name identity who" was matched as a single substring and returned 0 results,
  even when memories such as user-name and user-fullname clearly existed. The query is now tokenized
  (Unicode-aware, case-insensitive, dropping tokens shorter than 2 characters) and each token becomes a LIKE
  clause OR'd together, with a fallback to the raw query when tokenization yields nothing (preserves literal
  punctuation lookups).
• Julia answered specific questions with unrequested extra context. Asking "what is my name?" returned name +
  role + employer + country. Added an "Answer ONLY What Was Asked" rule to the memory skill: a specific
  question gets a specific answer. Includes EN/PT examples ("what is my name?", "what OS do I use?") and the
  single legitimate exception ("who am I?", where aggregating multiple identity memories is appropriate).

Tests

• New test/memory-search.test.ts with a direct regression for the production case ("user name identity who"
  must hit user-name, user-fullname, user-os), plus coverage for single-word queries, case-insensitivity,
  category filtering, and the punctuation fallback.
• Full suite: 256/256 green.