path: root/apps/docs/add-memories/overview.mdx

---
title: "Add Memories Overview"
description: "Add content to Supermemory through text, files, or URLs"
sidebarTitle: "Overview"
---

Add any type of content to Supermemory - text, files, URLs, images, videos, and more. Everything is automatically processed into searchable memories that form part of your intelligent knowledge graph.

## Prerequisites

Before adding memories, you need to set up the Supermemory client:

- **Install the SDK** for your language
- **Get your API key** from [Supermemory Console](https://console.supermemory.ai)
- **Initialize the client** with your API key

<CodeGroup>

```bash npm
npm install supermemory
```

```bash pip
pip install supermemory
```

</CodeGroup>

<CodeGroup>

```typescript TypeScript
import Supermemory from 'supermemory';

const client = new Supermemory({
  apiKey: process.env.SUPERMEMORY_API_KEY!
});
```

```python Python
from supermemory import Supermemory
import os

client = Supermemory(
    api_key=os.environ.get("SUPERMEMORY_API_KEY")
)
```

</CodeGroup>

## Quick Start

<CodeGroup>

```typescript TypeScript
// Add text content
const result = await client.memories.add({
  content: "Machine learning enables computers to learn from data",
  containerTag: "ai-research",
  metadata: { priority: "high" }
});

console.log(result);
// Output: { id: "abc123", status: "queued" }
```

```python Python
# Add text content
result = client.memories.add(
    content="Machine learning enables computers to learn from data",
    container_tags=["ai-research"],
    metadata={"priority": "high"}
)

print(result)
# Output: {"id": "abc123", "status": "queued"}
```

```bash cURL
curl -X POST "https://api.supermemory.ai/v3/documents" \
  -H "Authorization: Bearer $SUPERMEMORY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "content": "Machine learning enables computers to learn from data",
    "containerTag": "ai-research",
    "metadata": {"priority": "high"}
  }'

# Response: {"id": "abc123", "status": "queued"}
```

</CodeGroup>

## Key Concepts

<Note>
**New to Supermemory?** Read [How Supermemory Works](/how-it-works) to understand the knowledge graph architecture and the distinction between documents and memories.
</Note>

### Quick Overview
- **Documents**: Raw content you upload (PDFs, URLs, text)
- **Memories**: Searchable chunks created automatically with relationships
- **Container Tags**: Group related content for better context
- **Metadata**: Additional information for filtering

### Content Sources

Add content through three methods:

1. **Direct Text**: Send text content directly via API
2. **File Upload**: Upload PDFs, images, videos for extraction
3. **URL Processing**: Automatic extraction from web pages and platforms

## Endpoints

<Warning>
Remember, these endpoints add documents. Memories are inferred by Supermemory.
</Warning>

### Add Content

`POST /v3/documents`

Add text content, URLs, or any supported format.

<CodeGroup>

```typescript TypeScript
await client.memories.add({
  content: "Your content here",
  containerTag: "project"
});
```

```python Python
client.memories.add(
  content="Your content here",
  container_tags=["project"]
)
```

```bash cURL
curl -X POST "https://api.supermemory.ai/v3/documents" \
  -H "Authorization: Bearer $SUPERMEMORY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"content": "Your content here", "containerTag": "project"}'
```

</CodeGroup>

### Upload File

`POST /v3/documents/file`

Upload files directly for processing.

<CodeGroup>

```typescript TypeScript
await client.memories.uploadFile({
  file: fileStream,
  containerTag: "project"
});
```

```python Python
client.memories.upload_file(
  file=open('file.pdf', 'rb'),
  container_tags='project'
)
```

```bash cURL
curl -X POST "https://api.supermemory.ai/v3/documents/file" \
  -H "Authorization: Bearer $SUPERMEMORY_API_KEY" \
  -F "[email protected]" \
  -F "containerTags=project"
```

</CodeGroup>

### Update Memory

`PATCH /v3/documents/{id}`

Update existing document content.

<CodeGroup>

```typescript TypeScript
await client.memories.update("doc_id", {
  content: "Updated content"
});
```

```python Python
client.memories.update("doc_id", {
  "content": "Updated content"
})
```

```bash cURL
curl -X PATCH "https://api.supermemory.ai/v3/documents/doc_id" \
  -H "Authorization: Bearer $SUPERMEMORY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"content": "Updated content"}'
```

</CodeGroup>

## Supported Content Types

### Documents
- PDF with OCR support
- Google Docs, Sheets, Slides
- Notion pages
- Microsoft Office files

### Media
- Images (JPG, PNG, GIF, WebP) with OCR

### Web Content
- Twitter/X posts
- YouTube videos with captions

### Text Formats
- Plain text
- Markdown
- CSV files

<Note> Refer to the [connectors guide](/connectors/overview) to learn how you can connect Google Drive, Notion, and OneDrive and sync files in real-time. </Note>

## Response Format

```json
{
  "id": "D2Ar7Vo7ub83w3PRPZcaP1",
  "status": "queued"
}
```

- **`id`**: Unique document identifier
- **`status`**: Processing state (`queued`, `processing`, `done`)



## Next Steps

- [Track Processing Status](/api/track-progress) - Monitor document processing
- [Search Memories](/search/overview) - Search your content
- [List Memories](/list-memories/overview) - Browse stored memories
- [Update & Delete](/update-delete-memories/overview) - Manage memories