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MindOS

by GeminiLight 651 stars MITProductivity
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About MindOS

MindOS is a human-AI collaborative system designed to synchronize knowledge between users and AI agents. It functions as a local-first knowledge base that allows humans to think while AI agents execute tasks. The system aims to break memory silos by connecting all agents to a central knowledge repository.

MindOS stores all data locally in plain text for privacy and control. It provides tools for managing AI agents, distilling experiences into reusable knowledge, and reflecting on cognitive growth. The platform supports various installation methods including desktop apps, npm packages, and source cloning.

Key features

  • Global synchronization of knowledge across all connected AI agents
  • Local plain text storage for transparency and control
  • Built-in MCP server for zero-config agent connectivity
  • GUI for recalibrating and auditing agent actions
  • Automatic distillation of thoughts into reusable knowledge
  • Web clipper for saving web content to the knowledge base
  • PDF and image import with conversion to searchable Markdown

Download desktop-v0.4.15

Jul 1, 2026
View all 11 versions

Frequently asked questions

Is MindOS free?
Yes. MindOS is free and open-source software, distributed under the MIT license.
Which platforms does MindOS support?
MindOS provides downloads for Windows, macOS, Linux.
What is the latest version of MindOS?
The latest version is desktop-v0.4.15, released on Jul 1, 2026.
What platforms does MindOS support?
MindOS offers desktop applications for macOS, Windows, and Linux. It can also be installed via npm or cloned from source.
How do I install MindOS?
MindOS can be installed through the desktop app, npm package (@geminilight/mindos), or by cloning the GitHub repository. The setup includes an interactive configuration wizard.
What license does MindOS use?
MindOS is released under the MIT License.
How does MindOS handle privacy?
MindOS is local-first by default, storing all data as plain text on the user's device for privacy and control.

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