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Memos Memory Guide

This is essentially a reference manual for Claude to understand how MemOS works under the hood. It explains the auto-recall system that injects memories at the start of each turn, then walks through when to manually call memory_search, memory_get, memory_share, and the rest of the tool suite. The guidance on two sharing planes (local agent vs team) is helpful for avoiding confusion. If you're building workflows where Claude needs to search past conversations, pull task summaries, or share context across agents, this keeps the model from guessing at the API semantics. It's verbose but thorough, covering both the happy path and edge cases like when auto-recall returns nothing.

skills.sh installs
302
GitHub stars
12.3K
last updated
Aug 21, 2026

Install

$ npx -y skills add memtensor/memos --skill memos-memory-guide --agent claude-code

Installs into .claude/skills of the current project.

Files

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

Sponsors

Details

Repository
github.com/memtensor/memos
Categories
Documentation, Release Management
First seen
Jun 3, 2026
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