rocketride-server: AI Pipeline Engine
Builds, runs, and scales your text-based AI projects using a powerful engine.
"A solo developer wants to create a chatbot that integrates with various AI models. They build, test, and deploy the chatbot using this pipeline engine in under an hour."
- •When you need to integrate multiple model providers and vector databases into your AI workflow
- •When you require a scalable and performant AI pipeline engine for large volumes of data
- •When you want to debug and visualize your AI workflow directly from your IDE
python -c 'from rocketride import Rocketride; rocketride = Rocketride(); workflow = rocketride.create_workflow("my_workflow"); workflow.add_node("model_provider", "huggingface")'Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/rocketride-server && curl -fsSL https://workflowstacks.com/api/skills/rocketride-server/claude-skill -o ~/.claude/skills/rocketride-server/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/rocketride-server && curl -fsSL https://workflowstacks.com/api/skills/rocketride-server/claude-skill -o ~/.claude/skills/rocketride-server/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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