OOMOL Studio helps you
generate, compose, and extend tools

Use Studio's built-in AI to create or extend tools with workflows, then deliver them to Cloud for oo-cli use.

When ready-made tools are not enough,
custom extension often gets blocked on these three points

Sustainable expansion depends on three things: manageable learning cost, predictable deployment, and ecosystem alignment.

Studio includes a built-in Agent, so you can start from intent instead of learning every concept first.

A built-in container keeps local and cloud environments aligned, so dev, debug, and release stay on one track.

When dependency management and design patterns diverge from community conventions, team knowledge is harder to reuse and extension costs rise.

The goal is not to add another platform abstraction, but to make the development flow smoother and easier to maintain.

1. From node generation to workflow orchestration, Studio's built-in Agent handles the first pass so you can start immediately.

2. It runs with full Studio context, not generic chat context, so it understands how to generate, orchestrate, and extend tools.

3. Bring your own model and token, and take manual control in code whenever needed.

1. Studio ships with a high-performance container and common runtimes ready out of the box.

2. Local and cloud share the same Linux base, so development, debugging, and release run on one consistent environment.

3. The container is isolated from your host, so AI can write and run code without touching your local environment or private data.

1. In Studio, a node is a function. Nodes orchestrate into workflows, then package into reusable tools.

2. Use npm for JavaScript and Poetry or pip for Python; dependency management follows community-standard practice.

3. So even if AI does most of the work, human takeover stays straightforward in the same familiar workflow.

Build, debug, and get the tool working in a real coding environment first. When you are ready to deliver it, hand it to Cloud.

Apple Silicon Mac only