Neurite
About Neurite
Neurite is a digital workspace that combines fractal mathematics with mind-mapping techniques to organize and explore interconnected ideas. It allows users to navigate fractal visualizations like the Mandelbrot set in real time while managing notes, media, and AI agents within the same interface.
The tool integrates AI capabilities with graph-based navigation, enabling non-linear access to information and collaborative multi-agent interactions. It supports various content types including text, images, videos, code, and web links, synchronized within a physics-simulated graph environment.
Key features
- Real-time fractal navigation with customizable visualizations
- Physics-simulated node graphs for organizing multimedia content
- Multi-agent AI communication through connected nodes
- Bi-directional sync between fractal workspace and text notes
- Integration with external knowledge sources like Wolfram Alpha
- Local vector database for web and PDF content retrieval
- Custom node creation with code execution support
- Exposed API for advanced function calling and automation
Download electron-2025.06.18.233853
Jun 18, 2025WindowsWindows
macOSmacOS
LinuxLinux
Frequently asked questions
- Is Neurite free?
- Yes. Neurite is free and open-source software, distributed under the MIT license.
- Which platforms does Neurite support?
- Neurite provides downloads for Windows, macOS, Linux.
- What is the latest version of Neurite?
- The latest version is electron-2025.06.18.233853, released on Jun 18, 2025.
- What platforms does Neurite support?
- Neurite offers a web interface at neurite.network and has a desktop version mentioned in the documentation.
- How is content organized in Neurite?
- Content is organized as interconnected nodes within fractal visualizations, supporting text, media, web links, and AI agents.
- What license does Neurite use?
- Neurite is released under the MIT license.
- Does Neurite require special hardware?
- The documentation mentions flashing visuals that may affect photosensitive users, suggesting GPU acceleration may be beneficial for optimal performance.
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