Memory Graph - Supermemory

Memory Graph is a React component that visualizes your Supermemory documents and memories as an interactive network. Documents appear as rectangular nodes, memories as hexagonal nodes, and connections between them show relationships and similarity.

<Card title="@supermemory/memory-graph on npm" icon="npm" href="https://www.npmjs.com/package/@supermemory/memory-graph"> Check out the NPM page for more details </Card>

Installation

bash

npm install @supermemory/memory-graph

Requirements: React 18.0.0 or higher

Quick Start

tsx

'use client'; // For Next.js App Router

import { MemoryGraph } from '@supermemory/memory-graph';
import type { DocumentWithMemories } from '@supermemory/memory-graph';
import { useEffect, useState } from 'react';

export default function GraphPage() {
  const [documents, setDocuments] = useState<DocumentWithMemories[]>([]);
  const [isLoading, setIsLoading] = useState(true);
  const [error, setError] = useState<Error | null>(null);

  useEffect(() => {
    fetch('/api/graph')
      .then(res => res.json())
      .then(data => {
        setDocuments(data.documents);
        setIsLoading(false);
      })
      .catch(err => {
        setError(err);
        setIsLoading(false);
      });
  }, []);

  return (
    <div style={{ height: '100vh' }}>
      <MemoryGraph
        documents={documents}
        isLoading={isLoading}
        error={error}
        variant="console"
      />
    </div>
  );
}

Backend API Route

Create an API route to fetch documents from Supermemory:

typescript

// app/api/graph/route.ts
import { NextResponse } from 'next/server';

export async function GET() {
  const response = await fetch('https://api.supermemory.ai/v3/documents/documents', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'Authorization': `Bearer ${process.env.SUPERMEMORY_API_KEY}`,
    },
    body: JSON.stringify({
      page: 1,
      limit: 500,
      sort: 'createdAt',
      order: 'desc',
    }),
  });

  const data = await response.json();
  return NextResponse.json(data);
}

typescript

// pages/api/graph.ts
import type { NextApiRequest, NextApiResponse } from 'next';

export default async function handler(req: NextApiRequest, res: NextApiResponse) {
  const response = await fetch('https://api.supermemory.ai/v3/documents/documents', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'Authorization': `Bearer ${process.env.SUPERMEMORY_API_KEY}`,
    },
    body: JSON.stringify({ page: 1, limit: 500, sort: 'createdAt', order: 'desc' }),
  });

  const data = await response.json();
  res.json(data);
}

javascript

app.get('/api/graph', async (req, res) => {
  const response = await fetch('https://api.supermemory.ai/v3/documents/documents', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'Authorization': `Bearer ${process.env.SUPERMEMORY_API_KEY}`,
    },
    body: JSON.stringify({ page: 1, limit: 500, sort: 'createdAt', order: 'desc' }),
  });

  const data = await response.json();
  res.json(data);
});

</CodeGroup> <Warning> Never expose your Supermemory API key to the client. Always fetch data through your backend. </Warning>

Variants

Console Variant - Full-featured dashboard view (0.8x zoom, space selector visible):

tsx

<MemoryGraph documents={documents} variant="console" />

Consumer Variant - Embedded widget view (0.5x zoom, space selector hidden):

tsx

<MemoryGraph documents={documents} variant="consumer" />

Examples

With Pagination

tsx

'use client';

import { MemoryGraph } from '@supermemory/memory-graph';
import { useCallback, useEffect, useState } from 'react';

export default function PaginatedGraph() {
  const [documents, setDocuments] = useState([]);
  const [page, setPage] = useState(1);
  const [hasMore, setHasMore] = useState(true);
  const [isLoading, setIsLoading] = useState(true);
  const [isLoadingMore, setIsLoadingMore] = useState(false);

  useEffect(() => { fetchPage(1, false); }, []);

  const fetchPage = async (pageNum, append) => {
    pageNum === 1 ? setIsLoading(true) : setIsLoadingMore(true);

    const res = await fetch(`/api/graph?page=${pageNum}&limit=100`);
    const data = await res.json();

    append ? setDocuments(prev => [...prev, ...data.documents]) : setDocuments(data.documents);
    setHasMore(data.pagination.currentPage < data.pagination.totalPages);
    setIsLoading(false);
    setIsLoadingMore(false);
  };

  const loadMore = useCallback(async () => {
    if (!isLoadingMore && hasMore) {
      const nextPage = page + 1;
      setPage(nextPage);
      await fetchPage(nextPage, true);
    }
  }, [page, hasMore, isLoadingMore]);

  return (
    <MemoryGraph
      documents={documents}
      isLoading={isLoading}
      isLoadingMore={isLoadingMore}
      hasMore={hasMore}
      totalLoaded={documents.length}
      loadMoreDocuments={loadMore}
    />
  );
}

Highlighting Search Results

tsx

<MemoryGraph
  documents={documents}
  highlightDocumentIds={searchResults}
  highlightsVisible={searchResults.length > 0}
/>

Controlled Space Selection

tsx

<MemoryGraph
  documents={documents}
  selectedSpace={selectedSpace}
  onSpaceChange={setSelectedSpace}
  showSpacesSelector={false}
/>

Custom Empty State

tsx

<MemoryGraph documents={documents} isLoading={isLoading}>
  <div style={{ textAlign: 'center', padding: '2rem' }}>
    <h2>No memories yet</h2>
    <p>Add content to see your knowledge graph</p>
  </div>
</MemoryGraph>

Props Reference

Core Props

Prop	Type	Default	Description
`documents`	`DocumentWithMemories[]`	required	Array of documents to display
`isLoading`	`boolean`	`false`	Shows loading indicator
`error`	`Error \| null`	`null`	Error to display
`variant`	`"console" \| "consumer"`	`"console"`	Visual variant
`children`	`ReactNode`	-	Custom empty state content

Pagination Props

Prop	Type	Default	Description
`isLoadingMore`	`boolean`	`false`	Shows indicator when loading more
`hasMore`	`boolean`	`false`	Whether more documents available
`totalLoaded`	`number`	-	Total documents currently loaded
`loadMoreDocuments`	`() => Promise<void>`	-	Callback to load more
`autoLoadOnViewport`	`boolean`	`true`	Auto-load when 80% visible

Display Props

Prop	Type	Default	Description
`showSpacesSelector`	`boolean`	variant-based	Show space filter dropdown
`highlightDocumentIds`	`string[]`	`[]`	Document IDs to highlight
`highlightsVisible`	`boolean`	`true`	Whether highlights shown
`occludedRightPx`	`number`	`0`	Pixels occluded on right

Controlled State Props

Prop	Type	Description
`selectedSpace`	`string`	Currently selected space (use `"all"` for all)
`onSpaceChange`	`(spaceId: string) => void`	Callback when space changes
`memoryLimit`	`number`	Max memories per document when space selected

Data Types

DocumentWithMemories

typescript

interface DocumentWithMemories {
  id: string;
  customId?: string | null;
  title?: string | null;
  content?: string | null;
  summary?: string | null;
  url?: string | null;
  source?: string | null;
  type?: string | null;
  status: 'pending' | 'processing' | 'done' | 'failed';
  metadata?: Record<string, string | number | boolean> | null;
  createdAt: string | Date;
  updatedAt: string | Date;
  memoryEntries: MemoryEntry[];
}

MemoryEntry

typescript

interface MemoryEntry {
  id: string;
  documentId: string;
  content: string | null;
  summary?: string | null;
  title?: string | null;
  type?: string | null;
  metadata?: Record<string, string | number | boolean> | null;
  createdAt: string | Date;
  updatedAt: string | Date;
  spaceContainerTag?: string | null;
  relation?: 'updates' | 'extends' | 'derives' | null;
  isLatest?: boolean;
  spaceId?: string | null;
}

Exports

Components

typescript

import {
  MemoryGraph,
  GraphCanvas,
  Legend,
  LoadingIndicator,
  NodeDetailPanel,
  SpacesDropdown
} from '@supermemory/memory-graph';

Hooks

typescript

import { useGraphData, useGraphInteractions } from '@supermemory/memory-graph';

Constants

typescript

import { colors, GRAPH_SETTINGS, LAYOUT_CONSTANTS } from '@supermemory/memory-graph';

Performance

The graph handles hundreds of nodes efficiently through:

Canvas-based rendering (not DOM elements)
Viewport culling (only draws visible nodes)
Level-of-detail optimization (simplifies when zoomed out)
Change-based rendering (only redraws when state changes)

For very large datasets (1000+ documents), use pagination to load data in chunks.

Browser Support

Works in all modern browsers supporting Canvas 2D API, ES2020, and CSS custom properties. Tested on Chrome, Firefox, Safari, and Edge.