---
title: "AI SDK Integration"
description: "Use Supermemory with Vercel AI SDK for seamless memory management"
sidebarTitle: "Overview"
---

The Supermemory AI SDK provides native integration with Vercel's AI SDK through three approaches: **User Profiles** for automatic personalization, **Memory Tools** for agent-based interactions, and **Infinite Chat** for automatic context management.

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

## Installation

```bash
npm install @supermemory/tools
```

## User Profiles with Middleware

Automatically inject user profiles into every LLM call for instant personalization.

```typescript
import { generateText } from "ai"
import { withSupermemory } from "@supermemory/tools/ai-sdk"
import { openai } from "@ai-sdk/openai"

// Wrap your model with Supermemory - profiles are automatically injected
const modelWithMemory = withSupermemory(openai("gpt-4"), "user-123")

const result = await generateText({
  model: modelWithMemory,
  messages: [{ role: "user", content: "What do you know about me?" }]
})
// The model automatically has the user's profile context!
```

## Memory Tools

Add memory capabilities to AI agents with search, add, and fetch operations.

```typescript
import { streamText } from "ai"
import { createAnthropic } from "@ai-sdk/anthropic"
import { supermemoryTools } from "@supermemory/tools/ai-sdk"

const anthropic = createAnthropic({
  apiKey: "YOUR_ANTHROPIC_KEY"
})

const result = await streamText({
  model: anthropic("claude-3-sonnet"),
  prompt: "Remember that my name is Alice",
  tools: supermemoryTools("YOUR_SUPERMEMORY_KEY")
})
```

## Infinite Chat

Automatic memory management for chat applications with unlimited context.

```typescript
import { streamText } from "ai"

const infiniteChat = createAnthropic({
  baseUrl: 'https://api.supermemory.ai/v3/https://api.anthropic.com/v1',
  apiKey: 'your-provider-api-key',
  headers: {
    'x-supermemory-api-key': 'supermemory-api-key',
    'x-sm-conversation-id': 'conversation-id'
  }
})

const result = await streamText({
  model: infiniteChat("claude-3-sonnet"),
  messages: [
    { role: "user", content: "What's my name?" }
  ]
})
```

## When to Use

| Approach | Use Case |
|----------|----------|
| User Profiles | Personalized LLM responses with automatic user context |
| Memory Tools | AI agents that need explicit memory control |
| Infinite Chat | Chat applications with automatic context |

## Next Steps

<CardGroup cols={3}>
  <Card title="User Profiles" icon="user" href="/ai-sdk/user-profiles">
    Automatic personalization with profiles
  </Card>

  <Card title="Memory Tools" icon="wrench" href="/ai-sdk/memory-tools">
    Agent-based memory management
  </Card>

  <Card title="Infinite Chat" icon="infinity" href="/ai-sdk/infinite-chat">
    Automatic context management
  </Card>
</CardGroup>