MemTensor/MemOS

★ 12.1k GitHub stars · TypeScript · Memory & Context

About MemOS

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.

MemOS is one of 18 projects listed under Memory & Context on DSHToolkit. Memory layers, context managers and retrieval tools that give DSH agents persistent recall.

Installation

git clone https://github.com/MemTensor/MemOS.git
cd MemOS
# follow the README for install steps

Most DeepSeek Harness plugins install as npm packages or DSH extensions. After installing, restart DSH so the plugin registers. If the project ships a desktop client or a plugin market, you can install it with one click instead.

Details

Language	TypeScript
License	Apache-2.0
Stars	12,053
Last updated	2026-10-23
Category	Memory & Context
Homepage	https://memos.openmem.net

Topics

FAQ

What is MemOS?

MemOS is a DeepSeek Harness plugin by MemTensor. Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.

How do I install MemOS?

Clone or install from the repository at https://github.com/MemTensor/MemOS, follow the README install steps, then restart DeepSeek Harness. Plugins are usually npm packages or DSH extensions.

Is MemOS free?

MemOS is published under the Apache-2.0 license. Check the repository for the current terms.

How popular is MemOS?

MemOS has 12,053 GitHub stars and was last updated on 2026-10-23.

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