nowledge-mem-guidelisted
Install: claude install-skill nowledge-co/community
# Nowledge Mem
## Search (memory_search)
Use natural language queries. This is semantic search, not file search.
- "database choice for task events" (not "MEMORY.md" or file paths)
- "meeting with Sarah about API redesign"
- "deployment procedure for production"
Results include `matchedVia` (scoring breakdown), `importance`, `labels`, `sourceThreadId`.
When results include `relatedThreads`, use `nowledge_mem_thread_fetch` with the `threadId` for full conversation context. Start with a small page; fetch more via `offset` + `limit` only when needed.
Bi-temporal filters narrow results by time:
- `event_date_from` / `event_date_to` — when the fact happened
- `recorded_date_from` / `recorded_date_to` — when it was saved
## Save (nowledge_mem_save)
Save proactively when the conversation produces a decision, preference, plan, procedure, learning, or important context. Do not wait to be asked.
Structure saves:
- `unit_type`: fact | preference | decision | plan | procedure | learning | context | event
- `labels`: lowercase-hyphenated topic tags
- `importance`: 0.0-1.0 (most: 0.5; key decisions/preferences: 0.7-0.9)
- `event_start` / `event_end`: ISO dates when temporal
Skip trivial exchanges, greetings, and meta-conversation about memory itself.
## Connections (nowledge_mem_connections)
Pass a `memoryId` from search results to explore related memories, evolution chains, and source documents. Edge types: EVOLVES, CRYSTALLIZED_FROM, SOURCED_FROM, MENTIONS.
## Timeline (no