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The open-source AI chat app for everyone.

View the latest demo here.

Hey everyone! I’ve heard your feedback and am working hard on a big update.

Things like simpler deployment, better backend compatibility, and improved mobile layouts are on their way.

Be back soon.

— Mckay

Use Chatbot UI without having to host it yourself!

Find the official hosted version of Chatbot UI here.

If you find Chatbot UI useful, please consider sponsoring me to support my open-source work 🙂

We restrict “Issues” to actual issues related to the codebase.

We’re getting excessive amounts of issues that amount to things like feature requests, cloud provider issues, etc.

If you are having issues with things like setup, please refer to the “Help” section in the “Discussions” tab above.

Issues unrelated to the codebase will likely be closed immediately.

We highly encourage you to participate in the “Discussions” tab above!

Discussions are a great place to ask questions, share ideas, and get help.

Odds are if you have a question, someone else has the same question.

Chatbot UI was recently updated to its 2.0 version.

The code for 1.0 can be found on the legacy branch.

In your terminal at the root of your local Chatbot UI repository, run:

If you run a hosted instance you’ll also need to run:

to apply the latest migrations to your live database.

Follow these steps to get your own Chatbot UI instance running locally.

You can watch the full video tutorial here.

git clone https://github.com/mckaywrigley/chatbot-ui.git

Open a terminal in the root directory of your local Chatbot UI repository and run:

3. Install Supabase & Run Locally

Previously, we used local browser storage to store data. However, this was not a good solution for a few reasons:

Security issues
Limited storage
Limits multi-modal use cases

We now use Supabase because it’s easy to use, it’s open-source, it’s Postgres, and it has a free tier for hosted instances.

We will support other providers in the future to give you more options.

You will need to install Docker to run Supabase locally. You can download it here for free.

MacOS/Linux

brew install supabase/tap/supabase

Windows

scoop bucket add supabase https://github.com/supabase/scoop-bucket.git scoop install supabase

In your terminal at the root of your local Chatbot UI repository, run:

cp .env.local.example .env.local

Get the required values by running:

Note: Use API URL from supabase status for NEXT_PUBLIC_SUPABASE_URL

Now go to your .env.local file and fill in the values.

If the environment variable is set, it will disable the input in the user settings.

In the 1st migration file supabase/migrations/20240108234540_setup.sql you will need to replace 2 values with the values you got above:

project_url (line 53): http://supabase_kong_chatbotui:8000 (default) can remain unchanged if you don’t change your project_id in the config.toml file
service_role_key (line 54): You got this value from running supabase status

This prevents issues with storage files not being deleted properly.

5. Install Ollama (optional for local models)

Follow the instructions here.

In your terminal at the root of your local Chatbot UI repository, run:

Your local instance of Chatbot UI should now be running at http://localhost:3000. Be sure to use a compatible node version (i.e. v18).

You can view your backend GUI at http://localhost:54323/project/default/editor.

Follow these steps to get your own Chatbot UI instance running in the cloud.

Video tutorial coming soon.

1. Follow Local Quickstart

Repeat steps 1-4 in “Local Quickstart” above.

You will want separate repositories for your local and hosted instances.

Create a new repository for your hosted instance of Chatbot UI on GitHub and push your code to it.

2. Setup Backend with Supabase

Go to Supabase and create a new project.

Once you are in the project dashboard, click on the “Project Settings” icon tab on the far bottom left.

Here you will get the values for the following environment variables:

While still in “Settings” click on the “API” text tab on the left.

Here you will get the values for the following environment variables:

Project URL: Found in “API Settings” as “Project URL”
Anon key: Found in “Project API keys” as “anon public”
Service role key: Found in “Project API keys” as “service_role” (Reminder: Treat this like a password!)

Next, click on the “Authentication” icon tab on the far left.

In the text tabs, click on “Providers” and make sure “Email” is enabled.

We recommend turning off “Confirm email” for your own personal instance.

Open up your repository for your hosted instance of Chatbot UI.

In the 1st migration file supabase/migrations/20240108234540_setup.sql you will need to replace 2 values with the values you got above:

project_url (line 53): Use the Project URL value from above
service_role_key (line 54): Use the Service role key value from above

Now, open a terminal in the root directory of your local Chatbot UI repository. We will execute a few commands here.

Next, link your project by running the following command with the “Project ID” you got above:

supabase link –project-ref

Your project should now be linked.

Finally, push your database to Supabase by running:

Your hosted database should now be set up!

3. Setup Frontend with Vercel

Go to Vercel and create a new project.

In the setup page, import your GitHub repository for your hosted instance of Chatbot UI. Within the project Settings, in the “Build & Development Settings” section, switch Framework Preset to “Next.js”.

In environment variables, add the following from the values you got above:

NEXT_PUBLIC_SUPABASE_URL
NEXT_PUBLIC_SUPABASE_ANON_KEY
SUPABASE_SERVICE_ROLE_KEY
NEXT_PUBLIC_OLLAMA_URL (only needed when using local Ollama models; default: http://localhost:11434)

You can also add API keys as environment variables.

OPENAI_API_KEY
AZURE_OPENAI_API_KEY
AZURE_OPENAI_ENDPOINT
AZURE_GPT_45_VISION_NAME

For the full list of environment variables, refer to the ‘.env.local.example’ file. If the environment variables are set for API keys, it will disable the input in the user settings.

Click “Deploy” and wait for your frontend to deploy.

Once deployed, you should be able to use your hosted instance of Chatbot UI via the URL Vercel gives you.

We are working on a guide for contributing.

Message Mckay on Twitter/X

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