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Search, save, and manage knowledge across all your AI tools through Nowledge Mem.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Use Nowledge Mem from WorkBuddy or CodeBuddy for startup context, memory search, durable saves, thread search, and WorkBuddy/CodeBuddy transcript import.
Read your daily Working Memory briefing to understand current context. Contains active focus areas, priorities, unresolved flags, and recent knowledge changes. Load this automatically at the beginning of sessions for cross-tool continuity.
Search memory store when past insights would improve response. Recognize when user's stored breakthroughs, decisions, or solutions are relevant. Search proactively based on context, not just explicit requests.
Use Nowledge Mem from Kimi Code for startup context, memory search, durable saves, thread search, and Kimi Code transcript import.
Check Nowledge Mem setup, detect your agent, and guide native connector setup. Use when the user asks about setup, configuration, or when memory tools aren't working as expected.
Save decisions, insights, preferences, and procedures as durable memories. Fires when the conversation produces knowledge worth keeping across sessions.
| name | nowledge-mem |
| description | Search, save, and manage knowledge across all your AI tools through Nowledge Mem. |
| license | Apache-2.0 |
| compatibility | >=3.12 |
| metadata | {} |
| allowed-tools | ["mem.search","mem.save","mem.context","mem.connections","mem.timeline","mem.forget","mem.threads","mem.thread","mem.status"] |
You have access to the user's personal knowledge graph through Nowledge Mem. This graph contains knowledge from all their AI tools — decisions from Claude Code, preferences from Cursor, insights from ChatGPT, and more — not just this Bub session. Knowledge you save here will be available in their other tools too.
Recognise these signals and call mem.search before answering:
Search both memories and threads. When a memory has source_thread_id,
fetch the full conversation with mem.thread for deeper context.
Call mem.save when durable knowledge appears:
Skip: routine fixes, work-in-progress, simple Q&A, generic info.
Guidelines:
mem.context returns Nowledge Mem's Context Bundle: owner identity, resolved
AI Identity, active scope, active rules, and Working Memory. Read it at the start
of a session when identity, scope, or rules matter. If the installed nmem
is older, the tool falls back to the lightweight Working Memory briefing.
Two paths into past conversations:
mem.search returns source_thread_id → mem.threadmem.threads finds conversations by keyword → mem.threadUse offset for pagination on long threads.
mem.connections shows how a memory relates to other knowledge:
related topics, EVOLVES chains (how understanding changed over time),
and source document provenance.
mem.timeline shows recent activity grouped by day.