EverOS
EverMind-AI
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
REVIEW SCORECARD
✓ 无Risky检出 · 自动化扫描结果仅供参考,非官方背书
AI DEEP REVIEW
Strong, actively maintained memory layer for DeepSeek Harness, but install steps and security posture are unverified fro
README shows a structured multi-entry-point architecture, TypeScript codebase, and benchmark/eval repos, but no test or CI details are visible.
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.
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.
Last updated 2026-08-26 with a dated news timeline through 2026-08-17 and an active Discord/X presence, indicating ongoing development.
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.
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前往仓库PROJECT TOPICS
VALIDATION LADDER
FAQ
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 has 10,996 stars and 1,006 forks on GitHub, last updated 2026-08-26.
MemOS is distributed under the Apache-2.0 license.
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
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。