MemOS

Q: What is MemOS?

MemOS is Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings. It is categorized as a MCP 服务器 with 9.9k GitHub stars.

Q: What programming language is MemOS written in?

MemOS is primarily written in TypeScript. It covers topics such as agent, agentic-ai, ai.

Q: How do I install or use MemOS?

You can find installation instructions and usage details in the MemOS GitHub repository at github.com/MemTensor/MemOS. The project has 9.9k stars and 903 forks, indicating an active community.

Q: What license does MemOS use?

MemOS is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

by MemTensor · MCP 服务器 · ★ 9.9k

About MemOS

MemOS 2.0: 星尘（Stardust） <img src="https://img.shields.io/badge/GitHub-Discussio

agent agentic-ai ai ai-agents chatgpt claude hermes llm long-term-memory mcp

Quick Facts

Stars	9,904
Forks	903
Language	TypeScript
Category	MCP 服务器
License	Apache-2.0
Quality Score	45.69/100
Open Issues	228
Last Updated	2026-06-17
Created	2025-07-06
Platforms	claude-code, mcp, node
Est. Tokens	~18k

Compatible Skills

These tools work well together with MemOS for enhanced workflows:

EverMemOS — semantic(0.57)+complementary+rare_topics+same_lang+similar_pop+shared_platform (79%)
mcp-memory-service — semantic(0.32)+complementary+rare_topics+same_lang+similar_pop+shared_platform (70%)
memU — semantic(0.37)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
honcho — semantic(0.53)+complementary+rare_topics+same_lang+shared_platform (62%)
robotmem — semantic(0.48)+complementary+rare_topics+same_lang+shared_platform (61%)

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Frequently Asked Questions

What is MemOS?

MemOS is Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings. It is categorized as a MCP 服务器 with 9.9k GitHub stars.

What programming language is MemOS written in?

MemOS is primarily written in TypeScript. It covers topics such as agent, agentic-ai, ai.

How do I install or use MemOS?

You can find installation instructions and usage details in the MemOS GitHub repository at github.com/MemTensor/MemOS. The project has 9.9k stars and 903 forks, indicating an active community.

What license does MemOS use?

MemOS is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

View on GitHub → Browse MCP 服务器 tools