assistant-ui--assistant-ui/apps/docs/content/examples/mem0.mdx

---
title: Mem0 Memory Chat
description: AI chat with persistent memory powered by Mem0 — remembers user preferences, facts, and history across sessions. Open-source React example built on assistant-ui.
---


<div className="not-prose h-[600px]">
  <iframe
    title="Mem0 - ChatGPT with memory demo"
    className="h-full w-full border-none"
    src="https://mem0-4vmi.vercel.app/"
  />
</div>

## Overview

A personalized AI chat experience powered by Mem0 that remembers user preferences, facts, and context across conversations. Unlike traditional chat applications where each conversation starts fresh, this example maintains a persistent memory of user interactions to provide increasingly relevant and personalized responses.

## Features

- **Persistent Memory**: Facts and preferences survive across chat sessions
- **Automatic Extraction**: AI automatically identifies and stores important information
- **Context Injection**: Relevant memories are included in each conversation
- **Memory Management**: Users can view, edit, and delete stored memories
- **Privacy Controls**: Fine-grained control over what gets remembered
- **Memory Visualization**: Clear interface showing what the AI remembers

## How It Works

1. **Conversation**: User chats normally with the AI
2. **Extraction**: Mem0 identifies key facts (e.g., "User prefers dark mode")
3. **Storage**: Facts are stored in Mem0's memory system
4. **Retrieval**: On future conversations, relevant memories are retrieved
5. **Personalization**: AI responses incorporate remembered context

## Integration

The example integrates Mem0's memory SDK with assistant-ui:

```tsx
import MemoryClient from "mem0ai";

const mem0 = new MemoryClient({
  apiKey: process.env.MEM0_API_KEY,
});

// Store memories from a conversation
async function storeMemory(userId: string, messages: Message[]) {
  await mem0.add(
    messages.map((m) => ({
      role: m.role,
      content: m.content,
    })),
    { user_id: userId },
  );
}

// Retrieve relevant memories for context
async function getRelevantMemories(userId: string, query: string) {
  const { results } = await mem0.search(query, {
    user_id: userId,
    limit: 10,
  });

  return results.map((m) => m.memory).join("\n");
}
```

### Using Memories in Chat

```tsx
// In your API route
export async function POST(req: Request) {
  const { messages, userId } = await req.json();
  const lastMessage = messages[messages.length - 1].content;

  // Get relevant memories
  const memories = await getRelevantMemories(userId, lastMessage);

  // Include memories in system prompt
  const systemPrompt = `You are a helpful assistant.

Here's what you remember about this user:
${memories}

Use this context to personalize your responses.`;

  const result = streamText({
    model: openai("gpt-5.4-nano"),
    system: systemPrompt,
    messages,
  });

  // Store new memories after response
  await storeMemory(userId, messages);

  return result.toUIMessageStreamResponse();
}
```

### Memory Types

| Type | Example |
|------|---------|
| Preferences | "User prefers concise answers" |
| Facts | "User works at Acme Corp" |
| Context | "User is building a React app" |
| History | "Previously discussed authentication" |

## Source

<SourceLink href="https://github.com/mem0ai/mem0/blob/main/examples/mem0-demo/components/assistant-ui/thread.tsx" />