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MemOS

MemTensor/MemOS

MemOS is a tool for DeepSeek Harness. 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.

MemTensor/MemOS Screenshot preview
Stars
11k
Forks
1k
Issues
65
Update
12 days

REVIEW SCORECARD

Review Scorecard

8.7/10Excellent
License compliance9.0
Engineering quality9.0
Content completeness8.0
Repository scale7.0
Maintenance activity9.0

No risk detected · Automated scan results are for reference only, not an official endorsement

PROJECT READMEREADMEExpandCollapse

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PROJECT TOPICS

Project topics

VALIDATION LADDER

Validation progress

Structure check pending
01Store discoveryPassed
02ClassificationPassed
03Structure checkPending
04Sandbox validationPending

FAQ

Frequently Asked Questions

What is MemOS used for?

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 popular is MemOS?

MemOS has 10,996 stars and 1,006 forks on GitHub, last updated 2026-08-26.

What license does MemOS use?

MemOS is distributed under the Apache-2.0 license.

Is MemOS compatible with DeepSeek Harness?

MemOS is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.

CLASSIFICATION EVIDENCE

Classification evidence

Project typeSkill
Feature categoryAgents & sessions
Rule confidenceHigh

The system checks GitHub Topics against the site taxonomy and keyword rules. Current matches:skills、chatgpt、long-term-memory、mcp、memory、memory-management、rag