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Agent 与会话技能

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
21 days

REVIEW SCORECARD

评测成绩单

8.7/10Excellent
detail.dimSecurity9.0
detail.dimQuality9.0
detail.dimContent8.0
detail.dimDeps7.0
detail.dimMaintenance9.0

无Risky检出 · 自动化扫描结果仅供参考,非官方背书

AI DEEP REVIEW

AI 深度评测

7.6/10Consider

Strong, actively maintained memory layer for DeepSeek Harness, but install steps and security posture are unverified fro

Code quality7

README shows a structured multi-entry-point architecture, TypeScript codebase, and benchmark/eval repos, but no test or CI details are visible.

Security6

No install command or permission model is provided, so risk from the plugin's local storage and background capture cannot be assessed; neutral score given.

Utility9

Solves a real, common agent pain point with persistent memory, hybrid retrieval, and cross-task skill reuse, backed by reported 35.24% token savings and benchmark gains.

Maintenance9

Last updated 2026-08-26 with a dated news timeline through 2026-08-17 and an active Discord/X presence, indicating ongoing development.

Docs7

README offers rich feature descriptions, benchmarks, and links to docs and a quick-start section, but the install command is listed as unknown and setup steps are not shown in the excerpt.

Generated by AI after reading the project README, as a decision aid; neutral scores are given when information is thin. Not an official endorsement.

PROJECT README项目说明展开Collapse

正在读取 GitHub README...

PROJECT TOPICS

项目标签

VALIDATION LADDER

验证进度

待结构检查
01市场发现Passed
02归类识别Passed
03结构检查Pending
04实机验证Pending

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

/10类依据

项目类型技能
功能/10类Agent 与会话
规则置信度High

System reads GitHub Topics first, then compares against the in-site category dictionary and word-root rules. Current match:skills、chatgpt、long-term-memory、mcp、memory、memory-management、rag