Study-AI-Agent

Making An AI agent to automate studying stuff for me

Run (JavaScript port)

Requires Node 20+.

npm install
npm start

Create a .env file in the project root:

TELEGRAM_BOT_TOKEN=...
GEMINI_API_KEY=...
CLASS_LEVEL=10        # optional
DATABASE_URL=postgresql://USER:PASSWORD@ep-xxxx-pooler.REGION.aws.neon.tech/neondb?sslmode=require

The database is Neon Postgres. Tables are created automatically on first start. To copy old data from data/study_agent.db, run npm install --no-save better-sqlite3 && node scripts/migrate-sqlite-to-neon.js once.

Setup page

Pressing Save Configuration stores the Telegram id, Gemini keys and the notebooklm-py session (~/.notebooklm/storage_state.json, from notebooklm login) in the users table.

Public sign-in for NotebookLM (Browserbase)

Visitors sign in to Google inside a cloud Chrome shown on the setup page, so nothing runs on their computer. Create a Browserbase account and add to .env:

BROWSERBASE_API_KEY=...
BROWSERBASE_PROJECT_ID=...
BROWSERBASE_API_KEY_BACKUP=...   # optional second account, used automatically if the first can't start a session
BROWSERBASE_PROJECT_ID_BACKUP=...
BROWSERBASE_PROXIES=true        # residential proxies help Google accept the sign-in (paid plan); false to skip
BROWSERBASE_MAX_SESSIONS=3      # cloud browsers open at the same time (each one costs money)

Without these keys, sign-in opens Chrome on the computer running the server (localhost only) and public visitors are asked to upload storage_state.json instead. The server must be a normal always-on Node process (npm start), not Vercel serverless functions, because sign-ins are tracked in memory.