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 KenGPT without having to host it yourself!

Find the official hosted version of KenGPT here.

If you find KenGPT useful, please consider sponsoring me to support their 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.

KenGPT 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 KenGPT repository, run:

npm run update

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

npm run db-push

to apply the latest migrations to your live database.

Follow these steps to get your own KenGPT 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 KenGPT repository and run:

npm install

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 KenGPT repository, run:

supabase start

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

cp .env.local.example .env.local

Get the required values by running:

supabase status

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.

Follow the instructions here.

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

npm run chat

Your local instance of KenGPT 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 KenGPT instance running in the cloud.

Video tutorial coming soon.

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 KenGPT on GitHub and push your code to it.

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:

• Project Ref: Found in "General settings" as "Reference ID"

• Project ID: Found in the URL of your project dashboard ( Ex: https://supabase.com/dashboard/project/<YOUR_PROJECT_ID>/settings/general)

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 KenGPT.

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 KenGPT repository. We will execute a few commands here.

Login to Supabase by running:

supabase login

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

supabase link --project-ref <project-id>

Your project should now be linked.

Finally, push your database to Supabase by running:

supabase db push

Your hosted database should now be set up!

Go to Vercel and create a new project.

In the setup page, import your GitHub repository for your hosted instance of KenGPT. 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 KenGPT via the URL Vercel gives you.