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

If the runtime already knows the current project or agent lane, add --space "<space name>".

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

cat ~/ai-now/memory.md

This fallback is only for older local-only Default-space setups.

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

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

If Nowledge Mem is on a remote server, run nmem config client set url https://... and nmem config client set api-key ... once on this machine, or use NMEM_API_URL / NMEM_API_KEY for a temporary override.