MemOS
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.
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
A mature, actively maintained local-first memory layer with strong docs and a clean pip install, worth adopting for agen
README documents a clear three-part stack (Markdown + SQLite + LanceDB), Python 3.12+ requirement, and both uv and pip install paths, though no test or CI details are visible in the excerpt.
The install path is a standard `pip install everos` with no download-and-execute scripts or plaintext credential handling shown, but the README requires an OpenRouter API key and gives no detail on how it is stored, so this is a neutral assessment.
It targets a real and common pain point—portable, user-owned long-term memory across agents and tools—with concrete features like orthogonal retrieval by user/agent/app/project/session IDs and offline reflection.
Last updated 2026-08-26 with 12,438 stars, an Apache-2.0 license, and an active ecosystem of integrations (DeepSeek Harness, Hermes, OpenClaw, Raven, Dify), indicating ongoing development.
The README provides a table of contents, a comparison table, prerequisites, a no-key demo command, and links to a dedicated documentation site, though the excerpt cuts off mid-quick-start.
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INSTALL REFERENCE
pip install everosThis command comes from an explicit install reference in the README and is provided for reference only — it is never auto-executed by a DSH host.
PROJECT TOPICS
VALIDATION LADDER
FAQ
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
EverOS has 12,438 stars and 903 forks on GitHub, last updated 2026-08-26.
EverOS is distributed under the Apache-2.0 license.
EverOS 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:clawdbot-skill、skills、agent-memory、chats、long-term-memory、mcp、memory、memory-management、rag。