Meet Neuralful Studio: AI workflows you can see
A first look at the desktop app we're building for designing AI agent workflows visually — and exporting them to run anywhere.

Building something useful with large language models usually means a lot of glue: prompts, tools, triggers, memory, error handling and the code that ties them together. It works — until you need to explain it to someone else, or change it six months later.
Neuralful Studio is our answer: a desktop app where an AI workflow is something you can see.

Nodes, not boilerplate
In Studio, every step is a node on a canvas: a trigger such as a webhook, a model such as Claude or GPT-4o, a tool such as a web scraper or Slack, a transform, a memory store. You connect their inputs and outputs and the workflow takes shape in front of you.
Nodes are grouped into clear categories — input and output, language models, logic, transforms, memory and tools — so it's easy to find what you need.
Export it, run it anywhere
A workflow shouldn't be locked inside the tool that built it. Studio can export a project as:
- a Docker image, ready to build and run
- a standalone Python script
- a REST API service
- a portable workflow JSON file
- a LangChain chain, a GitHub Action or a Jupyter notebook
Coming soon
Neuralful Studio will be free for Mac and Windows. We're still building it, and we'd love to hear what you would use it for — get in touch.
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