Is the EverOS MCP server actively maintained?

The EverOS MCP server was last committed 1d ago and has 9 contributors. Issue health: 55% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

EverOS MCP Server

Name: EverMind-AI/EverOS
Rating: 4.4 (1 reviews)
Author: EverMind-AI

EverMind-AI/EverOS

Score: 84.4 Rank #1012 Search & RAG

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One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.

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Overview

EverMind-AI/EverOS is a Python tool licensed under Apache-2.0. One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows. Topics: agentic-ai, ai, chats, llm, long-term-memory, memory, memory-management, python3, rag, agent-memory, clawdbot, clawdbot-skill, mcp, skills, deepseek-harness, dsh, dsh-plugin.

Ranked #1012 out of 24840 indexed tools.

In the top 5% of all indexed tools.

Has 13,183 GitHub stars.

Actively maintained with commits in the last week.

Ecosystem

Python Apache-2.0 10,738 pypi/wk

agentic-aiaichatsllmlong-term-memorymemorymemory-managementpython3ragagent-memoryclawdbotclawdbot-skillmcpskillsdeepseek-harnessdshdsh-plugin

Score Breakdown

Stars 15% 13,183

13,183 stars → extremely popular

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 55%

88/160 issues closed → decent issue management

Contributors 10% 9

9 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads 13% 10,738/wk

10,738 weekly installs → widely installed

Forks 924

Description Good

License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

[![AgentRank](https://agentrank-ai.com/api/badge/tool/EverMind-AI--EverOS)](https://agentrank-ai.com/tool/EverMind-AI--EverOS/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

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HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="EverMind-AI/EverOS"></script>

Details

Stars: 13,183
Forks: 924
Open Issues: 72
Closed Issues: 88
Contributors: 9
Dependents: —
Language: Python
License: Apache-2.0
Last Commit: 1d ago

Matched Queries

topic:mcp

From the README

<div align="center" id="readme-top">

<p align="center">
  <a href="https://x.com/evermind"></a>
  <a href="https://huggingface.co/EverMind-AI"></a>
  <a href="https://discord.gg/gYep5nQRZJ"></a>
  <a href="https://github.com/EverMind-AI/EverOS/discussions/67"></a>
</p>

[Website](https://evermind.ai) · [Documentation](https://docs.evermind.ai) · [Blog](https://evermind.ai/blogs) · [中文](README.zh-CN.md)

</div>

<br>

<details>
  <summary><kbd>Table of Contents</kbd></summary>

<br>

- [Why EverOS](#why-ever-os)
- [Ecosystem Integrations](#ecosystem-integrations)
- [Quick Start](#quick-start)
- [Use Cases](#use-cases)
- [Documentation](#documentation)
- [EverMind Ecosystem](#evermind-ecosystem)
- [Contributing](#contributing)

<br>

</details>

## Why EverOS

EverOS is a Python library and local-first memory runtime for agents and
makers. It gives one portable memory layer across coding assistants, apps,
devices, and workflows from day one. It stores conversations, files, and agent
tra

Read full README on GitHub →