nowledge-mem-guide

name

nowledge-mem-guide

description

Cross-AI personal knowledge graph memory (Nowledge Mem). Stores memories from this tool, Claude Code, Cursor, browser capture, imported documents, and more. Use when: (1) the user asks about prior work, decisions, preferences, people, dates, plans, or todos, (2) the user references something discussed before or says "remind me" / "what did we decide" / "what was I working on", (3) the conversation produces a decision, preference, plan, or learning worth keeping, (4) the user wants to browse recent activity or explore how ideas connect, (5) the user asks about a past conversation or wants to find a specific thread.

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 durable fact, preference, decision, plan, procedure, learning, event, 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 (nowledge_mem_timeline)

Browse recent activity grouped by day. Filter by event_type or exact date_from / date_to range.

Threads (nowledge_mem_thread_search + nowledge_mem_thread_fetch)

Find past conversations by keyword, then progressively fetch messages. Threads span all sources: this tool, other AI tools, browser capture, imports.

Startup Context (nowledge_mem_context)

Read Context Bundle when identity, active space, active rules, or current priorities matter. Older nmem clients fall back to the user's Working Memory briefing. Patch a specific Working Memory section with patch_section + patch_content/patch_append when the conversation updates a priority or resolves a flag.

Important

• Search uses natural language queries, not file paths. Never search for "MEMORY.md" or "memory/*.md".
• When relatedThreads appear in results, they often contain the most useful context.
• Use tools directly; do not tell the user to "check your memory."