perplexity-cli
🧠 A simple command-line client for the Perplexity API. Ask questions and receive answers directly from the terminal! 🚀🚀🚀
FlowGram is an extensible workflow development framework with built-in canvas, form, variable, and materials that helps…
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FlowGram is a composable, visual, easy-to-integrate, and extensible workflow development framework & toolkit. Our goal is to help developers build AI workflow platforms faster and simpler. FlowGram comes with a suite of built-in tools for workflow development: flow canvas, node configuration form, variable scope chain, and ready-to-use materials (LLM, Condition, Code Editor etc). It’s not a ready-made workflow platform; it’s the framework and toolkit to build yours.
Learn more at FlowGram.AI 🌐
Open in CodeSandbox 🌐 or StackBlitz 🌐
In this demo, we iterate through a list of cities, fetch real-time weather via HTTP, parse temperatures with a Code node, generate outfit suggestions with an LLM, gate by a Condition, aggregate results across the loop, and finally use an Advisor LLM to pick the most comfortable city before sending the result to the End node.
npx @flowgram.ai/create-app@latest
We recommend choosing the
Free Layout Demo ⭐️template.
cd demo-free-layout npm install npm start
| Feature | Description | Demo |
|---|---|---|
| Free Layout Canvas | Free layout canvas where nodes can be placed anywhere and connected using free-form lines. | ![]() |
| Fixed Layout Canvas | Fixed layout canvas where nodes can be dragged to specified positions, with support for compound nodes like branches and loops. | ![]() |
| Form | The form engine manages the CRUD operations of node data and provides rendering, validation, side effects, linkage, and error-capturing capabilities, simplifying the development of node configurations. | ![]() |
| Variable | The variable engine supports scope constraints, variable structure inspection, and type inference, making it easy to manage data flow within the workflow. | ![]() |
You can find the FlowGram documentation on the website.
The documentation is divided into several sections:
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