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MindOS MCP Server

GeminiLight/MindOS

Score: 71.6 → 0% Rank #3744 MCP Server
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MindOS is a Human-AI Collaborative Mind System, where human thinks and agents act. Globally sync your mind for all agents: transparent, controllable, and evolving symbiotically.

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Overview

GeminiLight/MindOS is a TypeScript tool licensed under MIT. MindOS is a Human-AI Collaborative Mind System, where human thinks and agents act. Globally sync your mind for all agents: transparent, controllable, and evolving symbiotically. Topics: agent, context, knowledge-base, mcp, memory, skill.

Ranked #3744 out of 24846 indexed tools.

Ecosystem

TypeScript MIT
agentcontextknowledge-basemcpmemoryskill

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 679

679 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 90%

28/31 issues closed → responsive maintainer

Contributors 10% 5

5 contributors → small team

Dependents 25% 1

1 dependent → few downstream users

npm Downloads N/A
PyPI Downloads N/A
Forks 61
Description Detailed
License MIT

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

How to Improve

Freshness high impact

Last commit was 37 days ago — a recent commit would boost your freshness score

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AgentRank score for GeminiLight/MindOS
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Matched Queries

topic:mcp

From the README

<p align="center">
  
</p>

<h1 align="center">MindOS</h1>

<p align="center">
  <strong>Human Thinks Here, Agents Act There.</strong>
</p>

<p align="center">
  <a href="README.md">English</a> | <a href="README_zh.md">中文</a>
</p>

<p align="center">
  <a href="https://tianfuwang.tech/MindOS"></a>
  <a href="https://www.npmjs.com/package/@geminilight/mindos"></a>
  <a href="#wechat"></a>
  <a href="LICENSE"></a>
</p>

<p align="center">
  <a href="https://github.com/GeminiLight/MindOS/releases?q=desktop"></a>
  <a href="https://github.com/GeminiLight/MindOS/releases?q=clipper"></a>
</p>

MindOS is a local-first knowledge base for sharing durable context between you and the AI agents you use. **Think in one place. Let agents work from shared context.**

---

<p align="center">
  <picture>
    <source media="(prefers-color-scheme: dark)" srcset="assets/images/demo-flow-dark.webp" type="image/webp" />
    <source media="(prefers-color-scheme: dark)" srcset="assets/images/demo-flow-dark.pn
Read full README on GitHub →

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