Claude Skill

EverMind-AI/EverOS

EverOS provides a portable, self-evolving memory layer for AI agents like Claude Code, Codex, OpenClaw, and Hermes. Enable long-term memory across platforms and LLMs.

Overview

Stars8,868
Forks778
LanguagePython
Last pushed2026-06-25
Last synced2026-06-25
View on GitHub

Repository

OwnerEverMind-AI
RepositoryEverOS
Full nameEverMind-AI/EverOS
Repo ID1,085,086,903

Install this Skill

git clone https://github.com/EverMind-AI/EverOS.git

Registry

Typemcp_server
Quality score75/100
Verificationreadme_parsed
Last verified2026-05-30
Platforms
ClaudeMCPOpenClawCodex
Capabilities
browsercode-reviewpdfmemorysearchimageterminalworkflowagent-memoryagentic-ai
Detected files
README.md
Config keys
LLM_API_KEYVECTORIZE_API_KEY

Summary

EverOS is a self-evolving memory layer that provides portable, long-term memory across multiple AI agents and platforms, including Claude Code, Codex, OpenClaw, Hermes, and more. It enables agents to retain and share context seamlessly.

Chinese description

为您的24/7 OpenClaw智能体提供跨LLM和平台的长期记忆能力。

Key features

  • Self-evolving memory that adapts across agents and platforms
  • Portable memory layer compatible with Claude Code, Codex, OpenClaw, Hermes, and more
  • Long-term memory support for 24/7 AI agents
  • Cross-LLM memory persistence and sharing
  • Built on MCP (Model Context Protocol) for interoperability

Use cases

  • Enable Claude Code to remember past conversations and context across sessions
  • Share memory between different AI agents (e.g., Codex and OpenClaw) for consistent behavior
  • Build persistent AI assistants that recall user preferences and history
  • Create multi-agent workflows with unified memory across platforms

README excerpt

<div align="center" id="readme-top"> ![banner-gif](https://github.com/user-attachments/assets/0bf97efd-580f-4a53-a2a2-58d6daea7290) <p align="center"> <a href="https://x.com/evermind"><img src="https://img.shields.io/badge/EverMind-000000?labelColor=gray&style=for-the-badge&logo=x&logoColor=white" alt="X"></a> <a href="https://huggingface.co/EverMind-AI"><img src="https://img.shields.io/badge/🤗_HuggingFace-EverMind-F5C842?labelColor=gray&style=for-the-badge" alt="HuggingFace"></a> <a href="https://discord.gg/gYep5nQRZJ"><img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fdiscord.com%2Fapi%2Fv10%2Finvites%2FgYep5nQRZJ%3Fwith_counts%3Dtrue&query=%24.approximate_presence_count&suffix=%20online&label=Discord&color=404EED&labelColor=gray&style=for-the-badge&logo=discord&logoColor=white" alt="Discord"></a> <a href="https://github.com/EverMind-AI/EverOS/discussions/67"><img src="https://img.shields.io/badge/WeCom-EverMind_社区-07C160?labelColor=gray&style=for-the-badge&logo=wechat&logoColor=white" alt="WeChat"></a> </p> [Website](https://evermind.ai) · [Documentation](https://docs.evermind.ai) · [Blog](https://evermind.ai/blogs) </div> <br> <details open> <summary><kbd>Table of Contents</kbd></summary> <br> - [Project Overview](#project-overview) - [Use Cases](#use-cases) - [Quick Start](#quick-start) - [Architecture Methods](#architecture-methods) - [Benchmarks](#benchmarks) - [Evaluation](#evaluation) - [Citations](#citations) - [Stay Tuned](#stay-tuned) - [Contributing](#contributing) <br> </details> ## Project Overview **EverOS** is a unified home for applying, building, and evaluating long-term memory in self-evolving agents. The repository is organized around three essential parts: | Part | What it gives you | Start here | | :---

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Data from GitHub. Synced on 2026-06-25