by EverMind-AI · MCP Server · ★ 9.7k
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![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 | 9,668 |
| Forks | 812 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 73.1255952302216/100 |
| Open Issues | 37 |
| Last Updated | 2026-06-28 |
| Created | 2025-10-28 |
| Platforms | mcp, python |
| Est. Tokens | ~19k |
These tools work well together with EverOS for enhanced workflows:
Looking for a EverOS alternative? If you're comparing EverOS with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill r
Memory library for building stateful agents
CowAgent是基于大模型的超级AI助理，能主动思考和任务规划、访问操作系统和外部资源、创造和执行Skills、拥有长期记忆并不断成长，比OpenClaw更轻量和便捷。同时支持微信、飞书、钉钉、企微、QQ、公众号、网页
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Mi
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answer
Free, local, open-source 24/7 Cowork app for OpenClaw, Hermes Agent, Claude Code, Codex, OpenCode, Gemini CLI
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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 9.7k 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 9.7k stars and 812 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.