Flow Nexus Neural

This is a full-featured neural network training platform that runs inside distributed E2B sandboxes. You get single-node training for standard architectures (feedforward, LSTM, transformer, GAN) with configurable layer stacks, plus distributed training clusters that can coordinate multiple sandboxes with different topologies (mesh, ring, star). The template marketplace lets you deploy pre-trained models instead of building from scratch. Federated learning support keeps data on local nodes, which matters for privacy-sensitive work like medical imaging. The distributed setup handles parameter servers, workers, and gradient aggregation automatically. If you need to train models that don't fit on one machine or want to experiment with distributed architectures without managing infrastructure, this handles the orchestration.

skills.sh installs: 1.1K
GitHub stars: 81.4K
last updated: Aug 21, 2026

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Install

$ npx -y skills add ruvnet/ruflo --skill flow-nexus-neural --agent claude-code

Installs into .claude/skills of the current project.

Files

Flow Nexus Neural Networks

Deploy, train, and manage neural networks in distributed E2B sandbox environments. Train custom models with multiple architectures (feedforward, LSTM, GAN, transformer) or use pre-built templates from the marketplace.

Prerequisites

# Add Flow Nexus MCP server
claude mcp add flow-nexus npx flow-nexus@latest mcp start

# Register and login
npx flow-nexus@latest register
npx flow-nexus@latest login