Documentation Index
Fetch the complete documentation index at: https://docs.memwal.ai/llms.txt
Use this file to discover all available pages before exploring further.
The repo includes ready-to-run apps in apps/ that show different MemWal integration patterns.
This page focuses on app-level patterns,the basic SDK flow covered in Quick Start and MemWal Usage.
Run Locally
pnpm dev:app
pnpm dev:chatbot
pnpm dev:noter
pnpm dev:researcher
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(recallQuery, 5);
await memwal.analyze(analyzeText);
remember(), recall(), analyze(), restore(), AI middleware, and manual mode.
AI chat app with persistent memory across sessions.
import { withMemWal } from "@mysten-incubation/memwal/ai";
const model = withMemWal(baseModel, {
key,
accountId,
serverUrl,
maxMemories: 5,
autoSave: true,
});
withMemWal, so recall happens before generation and new context can be auto-saved after each turn.
Note-taking app that stores insights as encrypted, searchable memory.
export const extractMemories = async (text: string): Promise<string[]> => {
const memwal = getMemWalClient();
const result = await memwal.analyze(text);
return (result.facts ?? []).map((f) => f.text);
};
analyze() to turn note content into structured facts while the relayer stores them asynchronously.
Research assistant that saves and recalls findings across sessions.
const fullText =
`Sprint Report: ${title}\n\n` +
`${content}\n\n` +
`References:\n${references}\n\n` +
`Sources: ${sourceList}`;
const job = await memwal.remember(fullText);
await memwal.waitForRememberJob(job.job_id);
const { results } = await memwal.recall(query, 5);
