Where Is the Local Directory for Bolt.diy? Bolt.diy vs Bolt.new for Local AI Development

Where Is the Local Directory for Bolt.diy? Bolt.diy vs Bolt.new for Local AI Development

The local directory for Bolt.diy is the folder where you cloned or extracted the Bolt.diy project, not a special hidden system folder. If you ran git clone inside ~/Projects, then your local Bolt.diy directory is probably ~/Projects/bolt.diy or ~/Projects/bolt-diy. Bolt.new, by contrast, runs in the browser as a hosted product, so you do not get the same direct local project directory unless you export or sync your code.

TLDR: Bolt.diy is the better choice if you want local control, local models, editable files, and a dev setup you can inspect. For example, a solo developer using Ollama with a 7B model can build a small React app without sending every prompt to a hosted AI provider. Expect setup to take 10 to 30 minutes the first time, while Bolt.new can start in under a minute. The tradeoff is simple: Bolt.diy gives you control; Bolt.new gives you speed.

Where is the Bolt.diy local directory?

The short answer: it is wherever you put it. Bolt.diy is usually installed by cloning its repository from GitHub. That folder becomes your local Bolt.diy directory.

Common examples include:

  • macOS or Linux: ~/Projects/bolt.diy
  • macOS or Linux: ~/dev/bolt-diy
  • Windows: C:\Users\YourName\Projects\bolt.diy
  • Docker setup: the directory where your docker-compose.yml or cloned repo sits

If you forgot where you cloned it, search for files such as package.json, pnpm-lock.yaml, or .env.local. Those are strong clues that you found the project root.

Honestly, it feels like this confuses more people than it should. The name “local directory” sounds as if Bolt.diy creates one magic folder somewhere. It does not. Your shell location decides it.

How to find it from the terminal

If Bolt.diy is already running, open the terminal window you used to start it. Run:

pwd

On Windows PowerShell, run:

Get-Location

The output is your current directory. If you started Bolt.diy from there, that is your local Bolt.diy folder.

You can also search for the folder by name:

  • macOS/Linux: find ~/ -type d -name "bolt*"
  • Windows PowerShell: Get-ChildItem -Path C:\Users\YourName -Directory -Recurse -Filter "bolt*"

Expect that search to take a little time. On a large home folder, it may run for 20 to 60 seconds. Annoying, yes, but still faster than guessing folder names.

Where are the apps created by Bolt.diy stored?

This is the part that trips people up. Bolt.diy can run app files inside a browser-based development environment. That means generated project files may live in the app workspace while you are using it, rather than instantly appearing as normal folders on your computer.

Also Read  Event-Driven Architecture Tools Like Apache Pulsar That Help You Build Scalable Systems

So there are two “local” ideas:

  • The Bolt.diy app directory: the cloned Bolt.diy source code on your machine.
  • The generated project workspace: the files Bolt.diy creates while building your app.

If you want permanent access to generated app code, use export, download, Git, or any available project save option in your setup. Do not assume every generated file is sitting beside the Bolt.diy source folder.

Good habit: after Bolt.diy creates something useful, export it into a separate folder such as ~/Projects/my-ai-app. Keep Bolt.diy itself in its own folder. Keep your generated apps in separate folders. Your future self will thank you.

Where do local AI models live?

If you use Bolt.diy with a local AI runner such as Ollama, the model files are not stored inside the Bolt.diy folder. They live in the model tool’s own storage path.

For Ollama, common paths are:

  • macOS: ~/.ollama/models
  • Linux: ~/.ollama/models
  • Windows: C:\Users\YourName\.ollama\models

This matters because local models can be large. A 7B model may use several gigabytes. A 13B model can use much more. If your disk only has 20 GB free, local AI development can get cramped fast.

Bolt.diy vs Bolt.new for local AI development

Bolt.new is the smoother option for quick browser-based app generation. You open it, type what you want, and get a running project. There is very little setup. That is the appeal.

Bolt.diy is for people who want more control. You can run it locally, connect different AI providers, and use local models depending on your configuration. It is more hands-on. It also breaks in more hands-on ways.

Feature Bolt.diy Bolt.new
Local directory Yes, wherever you clone it No direct local app folder by default
Local AI models Possible with tools such as Ollama Mostly hosted AI flow
Setup time Usually 10 to 30 minutes Often under 1 minute
Privacy control Higher, especially with local models Lower, since it depends on hosted services
Best for Local AI experiments and custom workflows Fast prototypes and demos

When Bolt.diy makes more sense

Pick Bolt.diy if you care about owning the setup. It is a strong fit for developers who want to test local models, inspect prompts, modify the tool, or work with sensitive code that should stay on their machine.

Also Read  YourForm Explained: Form Builder Features and Business Use Cases

A realistic case: a freelance developer builds internal dashboards for small clinics. The code may include references to private workflows, fake patient data, or business logic the client does not want pasted into random hosted tools. With Bolt.diy and a local model, the developer can prototype UI screens while keeping more of the process on their own computer.

It is not perfect. Local models can be slower. A request that takes 8 seconds with a hosted model might take 25 seconds on a laptop. Larger tasks may feel painfully slow without a good GPU. That delay gets old when you are fixing tiny CSS bugs.

When Bolt.new is the better pick

Use Bolt.new when speed matters more than control. It is great for quick mockups, landing pages, simple apps, and proof-of-concept work. If you want to show a client a working idea in 15 minutes, Bolt.new is often the easier path.

The downside is portability and control. You may need to export the project before it feels like a normal local codebase. You also work within the limits of the hosted product. For many users, that is fine. For local AI development, it can feel restrictive.

Best folder setup for Bolt.diy

A clean folder structure saves trouble. Try this:

~/Projects/
  bolt.diy/
  ai-apps/
    task-manager/
    client-dashboard/
    react-chatbot/

Keep bolt.diy for the tool itself. Keep generated apps under ai-apps or another dedicated folder. Add Git repositories to each real project. This keeps updates, experiments, and client work from turning into one messy pile.

Quick checklist

  • Need the Bolt.diy local directory? Check where you cloned the repo.
  • Need generated app files? Export or save them into a separate project folder.
  • Using Ollama? Models are usually in ~/.ollama/models.
  • Want fast prototyping? Use Bolt.new.
  • Want local AI control? Use Bolt.diy.

Bottom line: Bolt.diy’s local directory is not mysterious. It is your cloned project folder. The real decision is whether you want a controlled local AI setup or a faster hosted builder. If local models, privacy, and file ownership matter, Bolt.diy is worth the extra setup. If you just need a prototype now, Bolt.new will usually feel easier.