> ## Documentation Index
> Fetch the complete documentation index at: https://docs.memobase.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

# Memobase API Overview

Memobase provides a powerful set of APIs for integrating user profile-based memory capabilities into your GenAI applications. Our APIs are designed to help your AI remember users through efficient memory management and profile generation.

## Key Features

* **User Memory Management**: Create, retrieve, update, and delete user memories with ease
* **Profile Generation**: Automatically generate user profiles from conversations and interactions
* **Buffer System**: Efficient memory processing with buffer zones for recent interactions
* **Customizable Profiles**: Define the aspects you want Memobase to collect about your users
* **Secure Authentication**: API token-based access control for your data

## API Structure

Our API is organized into several main categories:

1. **User APIs**: Manage user entities and their data
   * Create and manage users
   * Update user information
   * Delete user accounts

2. **Data APIs**: Handle data operations
   * Insert blobs
   * Get blobs
   * Delete blobs
   * Get all blobs

3. **Profile APIs**: Access and manage user profiles
   * Get user profiles
   * Delete specific profiles
   * Customize profile generation

## Authentication

All API requests require authentication using Bearer token authentication. Include your API token in the Authorization header of each request:

```http theme={null}
Authorization: Bearer YOUR_ACCESS_TOKEN
```

## Getting Started

To begin using the Memobase API, you'll need to:

1. Set up your Memobase backend server
   * Default URL: `http://localhost:8019`
   * Default token: `secret`

2. Make your first API call:
   ```python theme={null}
   from memobase import MemoBaseClient

   mb = MemoBaseClient("http://localhost:8019", "secret")
   assert mb.ping()
   ```

3. Start exploring the APIs!

## Data Processing

By default, Memobase processes and removes raw memory blobs after generating profiles. This ensures:

* Efficient storage usage
* Privacy-focused data handling
* Relevant information extraction

You can customize this behavior through configuration settings.

For detailed API endpoint documentation, explore the specific API sections in this documentation.