supermemory/SETUP-GUIDE.md

Self Hosting Guide

This guide will help you set up your own instance of Supermemory. This is neccessary if you want to contribute to the project or if you want to self host the project. You can read more about the stack here.

Prerequisites

• bun
• turbo
• wrangler
• yarn: yarn is required to run scripts using turborepo. bun is not supported by turborepo yet vercel/turbo#4762
• Cloudflare Workers: You also need to have a paid Workers plan to use the vectorize feature which is needed run the AI backend. It is currently $5/mo + usage costs.
• Cloudflare R2: You need to enable R2 in the Cloudflare Dashboard for use in the web app.

Steps

1. Clone the repo
2. Run bun install in the root directory

web

1. You need to create OAuth credentials for Google which is need for auth.js (nextauth). Visit https://developers.google.com/identity/protocols/oauth2 to learn more and https://console.cloud.google.com/apis/dashboard to create a new project and OAuth credentials. You need to set the redirect URL to http://localhost:3000/api/auth/callback/google for development. You can also set the redirect URL to your own domain if you are deploying the app.
2. Create a .dev.vars file in apps/web with the following content:

GOOGLE_CLIENT_ID="" // required
GOOGLE_CLIENT_SECRET="" // required
NEXTAUTH_SECRET="" // generate by running `openssl rand -base64 32`
DATABASE_URL='database.sqlite'
NEXTAUTH_URL='http://localhost:3000'
BACKEND_SECURITY_KEY="" // used to authenticate with the backend. generate a random string using `openssl rand -base64 32`
BACKEND_BASE_URL="http://localhost:8686"

Note

The BACKEND_SECURITY_KEY should be the same as the SECURITY_KEY in the .dev.vars file in apps/cf-ai-backend.

3. KV Namespaces

bunx wrangler kv namespace create canvas-snaps

bunx wrangler kv namespace create recommendations

Do not change the binding value in the wrangler.toml but update the id for the namespaces with the values you get from the above commands.

4. R2 Storage

bunx wrangler r2 bucket create supermemory-r2

Update bucket_name in the wrangler.toml file in apps/web to supermemory-r2

5. D1 Database

bunx wrangler d1 create supermemory-db-prod

Update the database_name and database_id in [[env.production.d1_databases]] with the values you get from the above command.

bunx wrangler d1 create supermemory-db-preview

Update the database_name and database_id in [[d1_databases]] and [[env.preview.d1_databases]] with the values you get from the above command.

Note

please don't change the binding value even if wrangler cli suggests you to do so.

[[d1_databases]]
binding = "DATABASE"
database_name = "supermemory-db-preview"
database_id = "YOUR_DB_ID"

Simply run this command in apps/web

bunx wrangler d1 migrations apply supermemory-db-preview

If it runs, you can set up the cloud database as well by add the --remote flag,

if you just want to contribute to frontend then just run bun run dev in the root of the project and done! (you won't be able to try ai stuff), otherwise continue...

cf-ai-backend

1. You need to host your own worker for the apps/cf-ai-backend module.

To do this, first edit the .dev.vars file in apps/cf-ai-backend with the following content:

SECURITY_KEY="veryrandomsecuritykey" // same as BACKEND_SECURITY_KEY in web
// Why? to generate embeddings with 4000+ tokens
OPENAI_API_KEY="sk-"

2. Run this command to initialise vector database

   Note: You need to use the workers paid plan to use vectorize for now.

bunx wrangler vectorize create --dimensions=1536 supermemory --metric=cosine

Update the index_name for [[vectorize]] in wrangler.toml file in apps/cf-ai-backend with the supermemory or the name you used in the above command.

3. Create KV namespaces for the cf-ai-backend module

bunx wrangler kv namespace create prod

Update the id in [[kv_namespaces]] in the wrangler.toml file in apps/cf-ai-backend with the value you get from the above command.

bunx wrangler kv namespace create preview

Update the preview_id in [[kv_namespaces]] in the wrangler.toml file in apps/cf-ai-backend with the value you get from the above command.

Local Development

• Run bun dev in the root directory and Voila! You have your own supermemory instance running!

Note

It sometimes takes multiple tries to successfully run the bun dev command. If you encounter any issues, try running the command again.

Deploying

To deploy the web app, run bun deploy in the apps/web directory. To deploy the cf-ai-backend module, run wrangler publish in the apps/cf-ai-backend directory.

To get the extension running, you need to build it first. Run bun build in the apps/extension directory and then load the extension in chrome.