#248 · Primary category: AI Agents & Automation
flowgram.ai
FlowGram is an extensible workflow development framework with built-in canvas, form, variable, and materials that helps developers build AI workflow platforms faster and simpler.
Project last updated:08/20/26
GitHub Stars
8.4K
Forks
763
Contributors
28
License
MIT
Why we included this project
Building a visual workflow builder for AI agents means a lot of unglamorous work: a node canvas, forms for configuring each step, variable scoping across nested loops, and reusable blocks for LLM calls, conditions, and code. FlowGram packages that into a React/TypeScript framework, so a team can assemble a Coze-style platform without rebuilding the graph editor and property forms from scratch. It is deliberately a toolkit, not a finished product; you supply the backend, execution engine, and data model while FlowGram handles the interactive editor surface. The bundled free-layout demo, which walks a list of cities through HTTP calls, a Code node, an LLM, and a Condition before aggregating results, gives a quick sense of what comes out of the box.
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