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Basic Information

Neurite is an open-source project that combines fractal visualization with graph-based mind-mapping and multi-agent AI. It provides an interactive Mandelbrot-based workspace where nodes represent text, media, web links, PDFs and AI agents. The repo supports building and running multi-agent chat networks, growing structured memories via FractalGPT and maintaining a synchronized Zettelkasten-style note archive. It includes a desktop application for an unrestricted browsing experience inside link nodes, support for local and cloud inference providers, and an exposed Neural API and function-calling panel for sequencing animations and actions in the fractal environment. The project aims to explore non-linear, rhizomatic memory, physics-simulated node layouts, and real-time fractal navigation for creative thinking, research, and experimentation with agentic graphs of thought.

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App Details

Features
Neurite offers real-time fractal zooming and customization with multiple fractal types including Mandelbrot, Julia and Burning Ship and visual controls for color, quality and speed. Nodes can contain text, images, video, audio, webpages, PDFs and AI agents with physics-based simulation and anchor/connection controls. Multi-Agent UI supports flow-based agent networks, message looping, prompt generation, and graph context sharing. FractalGPT provides structured memory mapping and non-linear retrieval via a local vector database. Bi-directional sync links the fractal mind-map and Zettelkasten archives. AI plugins include Auto Mode, Long-Term Memory, web and PDF understanding, Wolfram Alpha and Wikipedia results. The Neural API and function calling panel enable executing Neurite functions and animations, and the Desktop app provides packaged Windows, Linux and macOS releases with fuller link-node browsing.
Use Cases
Neurite helps users visualize and organize complex ideas by embedding diverse content types directly within an explorable fractal workspace. It is useful for researchers, writers, artists, developers and educators who want a non-linear, emergent environment for ideation and long-term memory building. The multi-agent UI enables experimentation with agent collaboration, comparison of models, and constructing task-specific agent swarms. Synchronized Zettelkasten and vector embeddings provide retrievable context for AI responses and support RAG-style workflows from webpages and PDFs. Local model support and the ability to run hosted models concurrently offer privacy and flexibility. The Neural API and desktop release let advanced users script movements, automate interactions, execute code blocks in-browser and sequence complex visual or agent-driven behaviors.

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