nowledge-co

read-working-memory

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.

nowledge-co 85 21 Updated 3mo ago
GitHub

Install

npx skillscat add nowledge-co/community/read-working-memory

Install via the SkillsCat registry.

SKILL.md

Read Working Memory

Start every session with context. Your Working Memory is a daily briefing synthesized from your knowledge base.

When to Use

At session start:

  • Beginning of a new conversation
  • Returning to a project after a break
  • When context about recent work would help

During session:

  • User asks "what am I working on?" or "what's my context?"
  • User references recent priorities or decisions
  • Need to understand what's been happening across tools

Skip when:

  • Already loaded this session
  • User explicitly wants a fresh start
  • Working on an isolated, context-independent task

Usage

Read the Working Memory file directly:

cat ~/ai-now/memory.md

What You'll Find

The Working Memory briefing contains:

  • Active Focus Areas — Topics you're currently engaged with, ranked by recent activity
  • Priorities — Items flagged as important or needing attention
  • Unresolved Flags — Contradictions, stale information, or items needing verification
  • Recent Activity — What changed in your knowledge base since the last briefing
  • Deep Links — References to specific memories for further exploration

How to Use This Context

  1. Read once at session start — don't re-read unless asked
  2. Reference naturally — mention relevant context when it connects to the current task
  3. Don't overwhelm — share only the parts relevant to what the user is working on
  4. Cross-tool continuity — insights saved in other tools (Cursor, Claude Code, Codex) appear here

Troubleshooting

nmem CLI - Choose one option:

Option 1: uvx (Recommended)

curl -LsSf https://astral.sh/uv/install.sh | sh
uvx --from nmem-cli nmem --version

Option 2: pip

pip install nmem-cli
nmem --version

Ensure Nowledge Mem server is running at http://localhost:14242

Links