nowledge-mem

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"]

Nowledge Mem — Cross-Tool Knowledge for Bub

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.

When to search

Recognise these signals and call mem.search before answering:

• Continuity — the user references something from a previous session or another tool
• Decision recall — "what did we decide about…", "why did we choose…"
• Pattern match — the current topic overlaps with past work in any tool
• Implicit recall — the user assumes you know something you haven't seen this session

Search both memories and threads. When a memory has source_thread_id, fetch the full conversation with mem.thread for deeper context.

When to save

Call mem.save when durable knowledge appears:

• Decisions — compared options and chose one
• Learnings — debugging revealed something non-obvious
• Preferences — user stated how they want things done
• Plans — concrete next steps agreed on
• Procedures — repeatable workflow documented

Skip: routine fixes, work-in-progress, simple Q&A, generic info.

Guidelines:

• Atomic and actionable — one idea per memory
• Title is a short summary, content is the detail
• 0–3 labels per memory (project names, topics)
• Importance: 0.8–1.0 critical | 0.5–0.7 useful | 0.1–0.4 minor
• Save proactively when the value is durable; do not wait for the user to ask.

Context Bundle

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.

Thread retrieval

Two paths into past conversations:

1. From a memory: mem.search returns source_thread_id → mem.thread
2. Direct search: mem.threads finds conversations by keyword → mem.thread

Use offset for pagination on long threads.

Graph exploration

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.