How do I install read-working-memory?

Run `npx skills add https://github.com/nowledge-co/community --skill read-working-memory` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does read-working-memory support?

read-working-memory works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is read-working-memory free to use?

Yes. read-working-memory is free to install and use. It is available from the open Skills registry published by nowledge-co.

Productivity

read-working-memory▌

Name: read-working-memory
Availability: InStock
Author: nowledge-co

nowledge-co/community · updated Apr 8, 2026

$npx skills add https://github.com/nowledge-co/community --skill read-working-memory

summary

Daily briefing of active focus areas, priorities, and recent knowledge changes for cross-session continuity.

›Load at the beginning of each session to understand current context and recent work across tools
›Surfaces active focus areas ranked by recent activity, flagged priorities, and unresolved contradictions or stale information
›Works via nmem wm read CLI command for both local and remote knowledge bases, with fallback to local file access
›Includes deep links to specific memories

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 Working Memory via nmem CLI (works for both local and remote):

nmem wm read

Fallback for local-only (when nmem is not installed):

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

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

Troubleshooting

If nmem is not in PATH: pip install nmem-cli or pipx install nmem-cli

If Nowledge Mem is on a remote server, create ~/.nowledge-mem/config.json with {"apiUrl": "...", "apiKey": "..."}, or set NMEM_API_URL and NMEM_API_KEY environment variables.