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Example Apps

The repo includes ready-to-run apps in apps/ that show different Walrus Memory integration patterns. Start here for app-level patterns; Quick Start and Walrus Memory Usage cover the basic SDK flow.

Run locally​

Each app needs its own environment file and database setup before it starts; the chatbot, noter, and researcher pages below cover the exact steps. After configuring an app, run it from the repo root:

Source: examples/example-apps.md 
$ pnpm dev:app
$ pnpm dev:chatbot
$ pnpm dev:noter
$ pnpm dev:researcher

Playground​

Dashboard, playground, and interactive demo for Walrus Memory.

Source: examples/example-apps.md 
const memwal = MemWal.create({
  key: delegateKey,
  accountId: accountObjectId,
  serverUrl,
  namespace,
});

const job = await memwal.remember(rememberText);
await memwal.waitForRememberJob(job.job_id);
await memwal.recall({ query: recallQuery, limit: 5 });
await memwal.analyze(analyzeText);

This app covers the full getting-started flow in one place. It signs users in, sets up delegate keys, shows SDK credentials, and includes a live playground for remember(), recall(), analyze(), restore(), AI middleware, and manual mode.

The demo apps​

Each demo app has its own page with the integration pattern it shows, the key code, and run instructions:

  • Chatbot: An AI chat app that wraps its model with the AI middleware, so recall runs before each generation and new context saves automatically.
  • Noter: A note-taking app with zkLogin sign-in that turns note content into structured, searchable facts through analyze.
  • Researcher: A research assistant that saves each sprint as a structured report and rebuilds context for fresh sessions through recall.