菜单
Load your current context at session start. Shows what you were working on, active priorities, and unresolved flags. Also trigger when resuming after a break or when the user asks what am I working on.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | working-memory |
| description | Load your current context at session start. Shows what you were working on, active priorities, and unresolved flags. Also trigger when resuming after a break or when the user asks what am I working on. |
Start with what matters. For full startup context, use Context Bundle: it resolves owner identity, the resolved AI Identity, active scope, active rules, Working Memory, and KFS paths. Working Memory is the lighter daily briefing of active focus areas, priorities, and recent knowledge changes.
If this session exposes the Nowledge Mem MCP server and you need the full startup contract, prefer read_context_bundle.
Otherwise use read_working_memory for a lightweight daily briefing, or the CLI Context Bundle fallback:
nmem --json context --source-app codex
For only Working Memory:
nmem --json wm read
If the runtime already knows the current project or agent lane, add --space "<space name>". Multi-agent orchestrators can set NMEM_AGENT_ID="<agent-slug>" before launching Codex so the Context Bundle resolves the right AI Identity. Add NMEM_SPACE only when that whole run should override the identity's default space. Use NMEM_HOST_AGENT_ID only for advanced external aliases.
search-memory after the briefing instead of stopping here.exists: false or the command fails, say there is no briefing yet and continue normally.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.