AI Infrastructure · GitHub ·8,333 ★

MemOS

AI memory OS for LLM and Agent systems(moltbot,clawdbot,openclaw), enabling persistent Skill memory for cross-task skill reuse and evolution.

Details

Author
MemTensor
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
python
Stars
8,333
First indexed
2026-05-15
Last active
2026-04-13
Directory sync
2026-05-15

Overview

AI memory OS for LLM and Agent systems(moltbot,clawdbot,openclaw), enabling persistent Skill memory for cross-task skill reuse and evolution.

Quick start

git

git clone https://github.com/MemTensor/MemOS

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What MemOS can do

  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.

Frequently asked questions

What is MemOS?
AI memory OS for LLM and Agent systems(moltbot,clawdbot,openclaw), enabling persistent Skill memory for cross-task skill reuse and evolution.
How do I install MemOS?
Use git: `git clone https://github.com/MemTensor/MemOS`. Full setup details on the source page linked above.
Is MemOS open source?
MemOS is published on GitHub.
What are alternatives to MemOS?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for MemOS is sourced from GitHub, published by MemTensor.

Last scraped: · First indexed:

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