技能列表

Use the MemOS Lite memory system to search and use the user's past conversations. Use this skill whenever the user refers to past chats, their own preferences or history, or when you need to answer from prior context. When auto-recall returns nothing (long or unclear user query), generate your own short search query and call memory_search. Use task_summary when you need full task context, skill_get for experience guides, and memory_timeline to expand around a memory hit.

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Memory hygiene and adjudication layer for OpenClaw agent workflows. Deduplicates entities, resolves naming conflicts, separates facts from goals from speculation, archives stale records, enforces consistent schemas, detects contradictions, and preserves provenance. Complements ontology and Proactive Agent.

Multi-backend memory system with optional embedding, private/shared memories, conversation summarization, and maintenance tools. For AI agents to store and retrieve persistent memories.

Manage entity status transitions in Basic Memory: archive completed work, move notes between status folders, update frontmatter, and handle edge cases. Use when marking items complete, archiving old entities, or managing any folder-based status workflow.

Ebbinghaus forgetting curve memory lifecycle manager for AI agents. Automatically calculates memory strength decay, supports review reinforcement, archiving, and deletion. Use when managing agent memory files, cleaning up stale knowledge, or implementing spaced repetition for long-term memory. Triggers on "memory management", "forgetting curve", "clean up memory", "which memories are fading", "review memory", "add memory item", "记忆管理", "遗忘曲线", "清理记忆", "哪些记忆快忘了", "复习记忆".

Autonomous memory consolidation for OpenClaw agents — like REM sleep. Periodically gathers signal from daily logs, session transcripts, and learnings; consolidates into MEMORY.md; syncs structured knowledge to an Obsidian vault (or any markdown knowledge base); tracks plans; prunes stale entries. Use when: (1) setting up periodic memory maintenance, (2) manually triggering a dream cycle, (3) configuring Obsidian vault sync, (4) agent memory is getting noisy/contradictory and needs consolidation.

Memory consolidation for OpenClaw agents. Periodically reviews daily memory files (memory/*.md), extracts durable knowledge, and merges it into MEMORY.md — like a human brain consolidating memories during sleep. Triggers: dream, 做梦, consolidate memory, 整理记忆, memory consolidation. Can also run via Cron for automatic nightly consolidation.

Defragment and optimize agent memory files by cleaning duplicates, merging similar entries, archiving stale content, and ensuring proper tiering. Use when: (1) memory files feel cluttered or bloated; (2) before or after context optimization; (3) weekly memory maintenance; (4) when explicitly asked to clean, defragment, or optimize memory.

记忆管理技能 - 三层时间架构 + 三类记忆标签 + 自动搜索 Hook

Structured memory system for AI agents. Use when the user wants to store, recall, or search memories, manage session lifecycle (wake/sleep/checkpoint), sync to Notion, or when the user shares important information that should be remembered (facts, decisions, preferences, lessons, commitments, relationships, projects).

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