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Memoket

Use Memoket with AI apps and agents through Vercel Connect. Follow a complete setup guide for secure runtime access.

Create Connector
  1. Install the skill

    $ npx skills add vercel/vercel-plugin --skill vercel-connect
  2. Connect to Memoket

    $ vercel connect create memoket --name acme-memoket
  3. Use its data in agents(opens in new tab) and apps(opens in new tab)

    import { getToken } from '@vercel/connect';
    const userId = 'user_123';
    const token = await getToken('memoket/acme-memoket', {
    subject: { type: 'user', id: userId },
    });

Use Memoket in apps and agents

Search recordings and get transcripts, summaries, and briefs.

Read the Memoket developer docs(opens in new tab)

Why use Vercel Connect with Memoket?

  • Credentials on demand

    Request Memoket credentials only when your application or agent needs them instead of copying secrets into application code.

  • Access for the right subject

    Request user-authorized Memoket access so actions follow the identity and permissions of the person using your application.

  • Centralized credential management

    Manage Memoket credentials in one place and retrieve them through a consistent runtime API.

  • Vercel-native controls

    Bind connections to the projects and environments that need them while Vercel OIDC authenticates each runtime request.

Use Memoket with your stack

Follow a complete setup for the Connect SDK or a supported agent framework.

Add Memoket to an existing Vercel application with the Connect SDK.

  1. Install the Connect SDK

    npm install @vercel/connect
  2. Create the Memoket connector

    Run these commands from the project that will use the connection.

    vercel link
    vercel connect create memoket --name acme-memoket
    vercel env pull
  3. Request Memoket credentials

    app/api/route.ts
    import { getToken } from '@vercel/connect';
    const userId = 'user_123';
    const token = await getToken('memoket/acme-memoket', {
    subject: { type: 'user', id: userId },
    });
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