supermemory/apps/docs/integrations/memory-graph.mdx

---
title: 'Memory Graph'
sidebarTitle: "Memory Graph"
description: 'Interactive visualization for documents, memories and connections'
icon: "/icons/hugeicons/hierarchy-square-01.svg"
---

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="/icons/hugeicons/package.svg" 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>
  );
}
```

## Optional rendering and document navigation

Existing icon-based document nodes and connection styling remain the defaults. Opt in to stacked squares and stronger semantic connections with `appearance`:

```tsx
<MemoryGraph
  documents={documents}
  appearance={{ documentNodes: 'stacked', connections: 'emphasized' }}
  openDocumentOnEnter
  onOpenDocument={openPersistedDocument}
/>
```

`documentNodes` accepts `'icons'` or `'stacked'`; `connections` accepts `'default'` or `'emphasized'`. Both fields are optional and also work on `GraphCanvas`. Stacks stay inside existing node bounds and simplify at low zoom. Use `colors.edgeDocument` to configure document-source ink; older custom `GraphCanvas` palettes without that field use `textSecondary` in emphasized mode.

`openDocumentOnEnter` is off by default. With an `onOpenDocument` callback, `MemoryGraph` exposes a focused Enter action for the selected persisted document or one confirmed memory source. Typing, modifier shortcuts, repeats, composition and keys outside the graph do not open documents. Your callback retains responsibility for routing and access control; consumers without a callback receive no new opening behavior.

## Backend API route

Create an API route to fetch documents from Supermemory:

<CodeGroup>

```typescript Next.js App Router
// 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 Next.js Pages Router
// 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 Express
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.