* fix: scope-filter memory list/search to current workstream and user
Unscoped memory(action='list') and memory(action='search') returned all
memories across all workstreams. Now applies the same 3-query pattern
(global + current workstream + current user) used by system prompt
injection.
* fix: validate user scope on memory search/list for unauthenticated sessions
Adds _validate_scope guard to search and list prepare paths, matching
save/get/delete. Prevents explicit scope='user' from returning all
user-scoped memories when session is unauthenticated.
* fix: update _get_visible_memories references to _list_visible_memories
* fix: defense-in-depth guard for empty scope_id on search/list
Copilot review: if scope is 'user' or 'workstream' with empty
scope_id, the storage query returns all memories in that scope
across all users/workstreams. The prepare step already validates
via _validate_scope, but add exec-level guard to reject scoped
queries with empty scope_id as defense-in-depth.
* feat: add memory get action, reduce search/list preview to 200 chars
search and list truncated memory content to 500 chars with no way to
read the full value. Two changes:
- New 'get' action retrieves a single memory by name with complete
untruncated content. Searches scopes narrowest-first (workstream
→ user → global).
- search/list previews reduced from 500 to 200 chars now that get
exists for full content. Both append a hint:
"Use memory(action='get', name='...') for full content."
Includes get_structured_memory_by_name wrapper in memory.py and
4 tests.
* Update turnstone/tools/memory.json
* fix: include 'get' in _prepare_memory docstring and invalid-action error
* feat: structured memory system — typed/scoped memories with BM25 relevance and metacognitive prompting
Replace flat key-value memories table with structured_memories (migration 014).
Four memory types (user/project/feedback/reference), three scopes
(global/workstream/user). Consolidate remember/recall/forget into two tools:
memory (action-based: save/search/delete/list) and recall (conversation
history only).
BM25 relevance scoring (extracted to turnstone/core/bm25.py) selects top-5
memories for system message injection based on conversation context.
Metacognitive prompting injects ephemeral nudges after corrections, tool
denials, workstream resume, and completion signals.
Scope isolation enforced: system message injection and nudge counts filtered
to visible memories only (global + current workstream + authenticated user).
User scope requires authentication. Content capped at 32KB. ILIKE/LIKE
metacharacters escaped in both backends.
113 new tests (2053 total).
* fix: CI failure + copilot review feedback
- Fix time.monotonic() cooldown: use None sentinel instead of 0.0
default (monotonic clock starts at boot, not epoch — fresh CI
runners have uptime < 300s so cooldown check always triggered)
- Catch sa.exc.IntegrityError specifically in upsert instead of
broad Exception (copilot review)
- Preserve existing description/type on upsert when caller doesn't
explicitly set them (copilot review)
- Add last_accessed + access_count columns to schema/migration for
future LRU/LFU eviction support
Patrick Buckley