Skills

Memos Memory Guide

Use the MemOS Local memory system to search and use the user's past conversations.

Install

npx skills add MemTensor/MemOS --skill memos-memory-guide -g -a claude-code -y
Repository
MemTensor/MemOS12.2k
Category
Engineering
Updated
6d ago
License
Apache-2.0
Context cost
Mediumabout 3,000 tokens
Runs scripts
No, instructions only

What it does

Use the MemOS Local 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. Available tools: memory_search, memory_get, memory_write_public, memory_share, memory_unshare, task_summary, skill_get, skill_search, skill_install, skill_publish, skill_unpublish, network_memory_detail, network_skill_pull, network_team_info, memory_timeline, memory_viewer.

MemOS Local Memory, Agent Guide

This skill describes how to use the MemOS memory tools so you can reliably search and use the user's long-term conversation history, query team-shared data, share tasks, and discover or pull reusable skills.

Two sharing planes exist and must not be confused:

  • Local agent sharing: visible to agents in the same OpenClaw workspace only.
  • Team sharing: visible to teammates through the configured team server.

How memory is provided each turn

  • Automatic recall (hook): At the start of each turn, the system runs a memory search using the user's current message and injects relevant past memories into your context. You do not need to call any tool for that.
  • When that is not enough: If the user's message is very long, vague, or the automatic search returns no memories, you should generate your own short, focused query and call memory_search yourself.
  • Memory isolation: Each agent can only see its own local private memories and local public memories. Team-shared data only appears when you search with scope="group" or scope="all".

Tools, what they do and when to call

memory_search

Read the whole SKILL.md on GitHub

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