No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by EverMind-AI · MCP Server · ★ 13.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is EverOS safe to install? View the security audit →
![banner-gif][banner-gif] [![][arxiv-badge]][arxiv-link] [![Docker][docker-badge]][docker] [![Ask DeepWiki][deepwiki-badge]][deepwiki] [![License][license-badge]][license] Share EverMemOS Repository [![][share-x-shield]][share-x-link] [![][share-linkedin-shield]][share-linkedin-link] [![][share-reddit-shield]][share-reddit-link] [![][share-telegram-shield]][share-telegram-link] -- [Documentation][documentation] • [API Reference][api-docs] • [Demo][demo-section] [![English][lang-en-badge]][lang-en-readme] [![简体中文][lang-zh-badge]][lang-zh-readme] [!IMPORTANT] ### Memory Sparse Attention Check out our latest papar Memory Sparse Attention - A scalable, end-to-end trainable latent-memory framework for 100M token contexts. - Scalable sparse attention + document-wise RoPE (parallel/global) achieving near-linear complexity in both training and inference. - KV cache compression
| Stars | 13,328 |
| Forks | 926 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 73.1255952302216/100 |
| Open Issues | 75 |
| Last Updated | 2026-10-01 |
| Created | 2025-10-28 |
| Platforms | mcp, python |
| Est. Tokens | ~19k |
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EverOS is One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.. It is categorized as a MCP Server with 13.3k GitHub stars.
EverOS is primarily written in Python. It covers topics such as agent-memory, agentic-ai, ai.
You can find installation instructions and usage details in the EverOS GitHub repository at github.com/EverMind-AI/EverOS. The project has 13.3k stars and 926 forks, indicating an active community.
EverOS is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to EverOS on Agent Skills Hub include MemOS, honcho, chatgpt-on-wechat. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: